PPoPP 2023 Contributors

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Results (316)

A Anju M AA, Anju M Indian Institute of Technology, MadrasIndia AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Daniel A. JiménezA. Jiménez, Daniel Addressing Challenges of Core Microarchitecture Research
Aditya AgrawalAgrawal, Aditya Indian Institute of Technology Madras AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Gagan AgrawalAgrawal, Gagan The Ohio State University Session Chair of Session 4: Parallelism (part of PPoPP Main Conference)
Gagan AgrawalAgrawal, Gagan Augusta UniversityUnited States End-to-End LU Factorization of Large Matrices on GPUs
Kunal AgrawalAgrawal, Kunal Washington University in St. Louis, USA Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Zafar AhmadAhmad, Zafar Stony Brook University, NY, USA AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Alex AikenAiken, Alex Stanford UniversityUnited States Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Vitaly AksenovAksenov, Vitaly Inria & ITMO University POSTER: Unexpected Scaling in Path Copying Trees
Christophe AliasAlias, Christophe INRIA PC Member in Program Committee within the PPoPP Main Conference-track
Dan AlistarhAlistarh, Dan IST Austria Fast and Scalable Channels in Kotlin Coroutines
Oliver Alvarado RodriguezAlvarado Rodriguez, Oliver Interactive Large-Scale Data and Graph Analytics
Rafael AsenjoAsenjo, Rafael Universidad de MálagaSpain Committee Member in Steering Committee for PPoPP 2023
Gal AssaAssa, Gal Technion TL4x - Buffered Durable Transactions on Disk as Fast as in Memory
B David BaderBader, David New Jersey Institute of Technology Interactive Large-Scale Data and Graph Analytics
Yuebin BaiBai, Yuebin Beihang University PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Pavan BalajiBalaji, Pavan Workshop on Programming Models and Applications for Multicores and Manycores (PMAM)
Soumik Kumar BasuBasu, Soumik Kumar Indian Institute of Technology Hyderabad AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Michael BauerBauer, Michael NVIDIA Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Naama Ben-DavidBen-David, Naama VMWare Research PC Member in Program Committee within the PPoPP Main Conference-track
Shajulin BenedictBenedict, Shajulin Indian Institute of Information Technology Kottayam, Kerala, India Exploring the Use of WebAssembly in HPC
Laxmi BhuyanBhuyan, Laxmi University of California, Riverside Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Swarnendu BiswasBiswas, Swarnendu IIT KanpurIndia PC Member in Program Committee within the PPoPP Main Conference-track
Guy E. BlellochBlelloch, Guy E. Carnegie Mellon University, USA Practically and Theoretically Efficient Garbage Collection for Multiversioning
Michael D. BondBond, Michael D. Ohio State University, USA PC Member in Program Committee within the PPoPP Main Conference-track
Lukas BreitwieserBreitwieser, Lukas European Organization for Nuclear Research (CERN), ETH Zurich High-Performance and Scalable Agent-Based Simulation with BioDynaMo
Trevor BrownBrown, Trevor University of Toronto POSTER: Unexpected Scaling in Path Copying Trees
Zoran BudimlićBudimlić, Zoran Texas A&M UniversityUnited States Workshops Chair in Organizing Committee for PPoPP 2023 Workshops Chair in Workshop/Tutorial Evaluation Committee within the PPoPP Workshops and Tutorials-track
Aydin BulucBuluc, Aydin University of California at Berkeley & Lawrence Berkeley National Lab PC Member in Program Committee within the PPoPP Main Conference-track
Sebastian BurckhardtBurckhardt, Sebastian Microsoft ResearchUnited States PC Member in Program Committee within the PPoPP Main Conference-track
C Wentao CaiCai, Wentao University of RochesterUnited States POSTER: Transactional Composition of Nonblocking Data Structures
Zhenkun CaiCai, Zhenkun The Chinese University of Hong Kong DSP: Efficient GNN Training with Multiple GPUs
Marc CasasCasas, Marc Barcelona Supercomputing Center Efficient Direct Convolution Using Long SIMD Instructions
Calin CascavalCascaval, Calin Google ResearchNew Zealand Committee Member in Steering Committee for PPoPP 2023
Cris CeckaCecka, Cris NVIDIA Corporation POSTER: Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
Milind ChabbiChabbi, Milind Uber Technologies Inc.United States Session Chair of Session 5: Decompositions (part of PPoPP Main Conference) PC Member in Program Committee within the PPoPP Main Conference-track
Mohak ChadhaChadha, Mohak Chair of Computer Architecture and Parallel Systems, Technical University of Munich Exploring the Use of WebAssembly in HPC
Dexun ChenChen, Dexun National Supercomputer center in wuxi Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Dongbai ChenChen, Dongbai Alibaba Inc POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Jieyang ChenChen, Jieyang University of Alabama at Birmingham Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Jun ChenChen, Jun Georgia Institute of Technology POSTER: CuPBoP: A framework to make CUDA portable
Quan ChenChen, Quan Shanghai Jiao Tong University Workshop on Programming Models and Applications for Multicores and Manycores (PMAM)
Tun ChenChen, Tun SKLP, Institute of Computing Technology, CAS POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Yaojian ChenChen, Yaojian Tsinghua University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Yawen ChenChen, Yawen University of Otago POSTER: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems
Zhaodong ChenChen, Zhaodong University of California, Santa Barbara Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Zihao ChenChen, Zihao East China Normal University Elastic Averaging for Efficient Pipelined DNN Training
zizhong chenchen, zizhong University of California, Riverside Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
James ChengCheng, James The Chinese University of Hong Kong DSP: Efficient GNN Training with Multiple GPUs
Unnikrishnan CheramangalathCheramangalath, Unnikrishnan Indian Institute of Technology PalakkadIndia AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Kazem CheshmiCheshmi, Kazem McMaster UniversityCanada Web Chair in Organizing Committee for PPoPP 2023
Albert CohenCohen, Albert GoogleFrance Steering Committee Chair in Steering Committee for PPoPP 2023
Andreia CorreiaCorreia, Andreia University of Neuchâtel TL4x - Buffered Durable Transactions on Disk as Fast as in Memory 2PLSF: Two-Phase Locking with Starvation-Freedom
D Fei DaiDai, Fei University of Otago POSTER: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems
George DanezisDanezis, George Mysten Labs & University College London Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Maryam Mehri DehnaviDehnavi, Maryam Mehri University of TorontoCanada General Chair in Organizing Committee for PPoPP 2023 General Chair in Workshop/Tutorial Evaluation Committee within the PPoPP Workshops and Tutorials-track
Omkar Dilip DhawalDhawal, Omkar Dilip Indian Institute of Technology Madras AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Laxman DhulipalaDhulipala, Laxman University of Maryland, College Park PC Member in Program Committee within the PPoPP Main Conference-track
Adhitha DiasDias, Adhitha Purdue University, USAUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Yufei DingDing, Yufei UC Santa Barbara Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Johannes DoerfertDoerfert, Johannes Lawrence Livermore National Laboratory High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
Jens DomkeDomke, Jens RIKEN Center for Computational Science High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs Benchmarking in the Datacenter (BID): Expanding to the Cloud
Xiaojun DongDong, Xiaojun University of California, Riverside Provably Fast and Space-Efficient Parallel Biconnectivity
Zhihui DuDu, Zhihui Interactive Large-Scale Data and Graph Analytics
E Roman ElizarovElizarov, Roman JetBrainsRussia Fast and Scalable Channels in Kotlin Coroutines
Toshio EndoEndo, Toshio Tokyo Institute of Technology High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
Patrick EugsterEugster, Patrick USI Lugano; Purdue UniversitySwitzerland PC Member in Program Committee within the PPoPP Main Conference-track
F Panagiota FatourouFatourou, Panagiota FORTH ICS and University of Crete, Greece Practically and Theoretically Efficient Garbage Collection for Multiversioning
Alexander FedorovFedorov, Alexander IST Austria POSTER: Unexpected Scaling in Path Copying Trees
Pascal FelberFelber, Pascal University of NeuchâtelSwitzerland TL4x - Buffered Durable Transactions on Disk as Fast as in Memory 2PLSF: Two-Phase Locking with Starvation-Freedom
Yangde FengFeng, Yangde Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Jeremy FinemanFineman, Jeremy Georgetown PC Member in Program Committee within the PPoPP Main Conference-track
Michal FriedmanFriedman, Michal ETH Zurich, Switzerland PC Member in Program Committee within the PPoPP Main Conference-track
Ryan FrieseFriese, Ryan Programming extremely heterogeneous system with the Minos Computing Library (MCL)
Haohuan FuFu, Haohuan Tsinghua University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
G Lin GanGan, Lin Tsinghua University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Jie GaoGao, Jie National Research Centre of Parallel Engineering and Technology Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Bhanu GargGarg, Bhanu Georgia Institute of Technology POSTER: CuPBoP: A framework to make CUDA portable
Michael GarlandGarland, Michael NVIDIA POSTER: Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Rati GelashviliGelashvili, Rati Aptos Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Michael GerndtGerndt, Michael TUM Exploring the Use of WebAssembly in HPC
Roberto GioiosaGioiosa, Roberto Pacific Northwest National Laboratory Programming extremely heterogeneous system with the Minos Computing Library (MCL)
Thomas GrossGross, Thomas ETH Zurich, Switzerland Committee Member in Steering Committee for PPoPP 2023
Tobias GrosserGrosser, Tobias University of EdinburghUnited Kingdom PC Member in Program Committee within the PPoPP Main Conference-track
Yan GuGu, Yan UC Riverside Provably Fast and Space-Efficient Parallel Biconnectivity
Rachid GuerraouiGuerraoui, Rachid EPFL PC Member in Program Committee within the PPoPP Main Conference-track
Giulia GuidiGuidi, Giulia University of California at Berkeley & Lawrence Berkeley National LabUnited States Publicity Chair (Americas) in Organizing Committee for PPoPP 2023 PC Member in Program Committee within the PPoPP Main Conference-track
Chu GuoGuo, Chu Information Engineering University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Minyi GuoGuo, Minyi Shanghai Jiao Tong University POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing Workshop on Programming Models and Applications for Multicores and Manycores (PMAM)
H Mary HallHall, Mary University of UtahUnited States Committee Member in Steering Committee for PPoPP 2023
Ruobing HanHan, Ruobing Georgia Institute of TechnologyUnited States POSTER: CuPBoP: A framework to make CUDA portable
Yueming HaoHao, Yueming North Carolina State University AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Re'em HarelHarel, Re'em POSTER: Learning to Parallelize in a Shared-Memory Environment with Transformers
Tim HarrisHarris, Tim Microsoft, UKUnited Kingdom Committee Member in Steering Committee for PPoPP 2023
Nikhil HegdeHegde, Nikhil Indian Institute of Technology, DharwadIndia Artifact Evaluation Co-Chair in Organizing Committee for PPoPP 2023 Artifact Evaluation Co-Chair in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Azin HeidarshenasHeidarshenas, Azin University of Illinois Urbana-Champaign WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning
Troels HenriksenHenriksen, Troels University of Copenhagen, DenmarkDenmark PC Member in Program Committee within the PPoPP Main Conference-track
Ahmad HesamHesam, Ahmad Delft University of Technology High-Performance and Scalable Agent-Based Simulation with BioDynaMo
Steven HofmeyrHofmeyr, Steven Lawrence Berkeley National Laboratory High-Performance Filters for GPUs
Jeff HollingsworthHollingsworth, Jeff University of MarylandUnited States Committee Member in Steering Committee for PPoPP 2023
Xiaofeng HouHou, Xiaofeng Hong Kong University of Science and Technology POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Zhiyi HuangHuang, Zhiyi University of Otago POSTER: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems Workshop on Programming Models and Applications for Multicores and Manycores (PMAM)
Xinning HuiHui, Xinning North Carolina State University AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
J Arpan JainJain, Arpan Principles and Practice of High-Performance Deep/Machine Learning
Hunter James McCoyJames McCoy, Hunter University of Utah High-Performance Filters for GPUs
Malith JayaweeraJayaweera, Malith Northeastern University AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Hyeran JeonJeon, Hyeran University of California, MercedUnited States Workshop on General Purpose Processing Unit (GPGPU)
Ricardo JesusJesus, Ricardo EPCC, The University of Edinburgh POSTER: AArch64 Atomics: Might they be harming your performance?
Haipeng JiaJia, Haipeng SKLP, Institute of Computing Technology, CAS POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Jiantong JiangJiang, Jiantong The University of Western Australia POSTER: Fast Parallel Exact Inference on Bayesian Networks
Peng JiangJiang, Peng The University of IowaUnited States End-to-End LU Factorization of Large Matrices on GPUs
Alexandra JimboreanJimborean, Alexandra University of MurciaSpain ERC member in Program Committee within the PPoPP Main Conference-track
Ruoming JinJin, Ruoming Kent State University iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures
Anshul JindalJindal, Anshul Chair of Computer Architecture and Parallel Systems, Technical University of Munich Exploring the Use of WebAssembly in HPC
Jophin JohnJohn, Jophin Chair of Computer Architecture and Parallel Systems, Technical University of Munich Exploring the Use of WebAssembly in HPC
Changhee JungJung, Changhee Purdue University, USA PC Member in Program Committee within the PPoPP Main Conference-track
K Raghavendra KanakagiriKanakagiri, Raghavendra Indian Institute of Technology Tirupati AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
George KarypisKarypis, George Amazon Web Services DSP: Efficient GNN Training with Multiple GPUs
Ramya kasaranenikasaraneni, Ramya Indian Institute of Technology Madras AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Idit KeidarKeidar, Idit Technion - Israel institute of technologyIsrael Committee Member in Steering Committee for PPoPP 2023
Gokcen KestorKestor, Gokcen Pacific Northwest National Laboratory Workshop on Extreme Heterogeneity Solutions (ExHET)
Naren KhatwaniKhatwani, Naren Interactive Large-Scale Data and Graph Analytics
Hyesoon KimKim, Hyesoon Georgia Tech POSTER: CuPBoP: A framework to make CUDA portable
Fredrik KjolstadKjolstad, Fredrik Stanford UniversityUnited States Publications Chair in Organizing Committee for PPoPP 2023 PC Member in Program Committee within the PPoPP Main Conference-track
Ilya KokorinKokorin, Ilya ITMO University POSTER: Unexpected Scaling in Path Copying Trees
Martin KongKong, Martin The Ohio State UniversityUnited States Submissions Chair in Organizing Committee for PPoPP 2023 Session Chair of Session 6: Kernels (part of PPoPP Main Conference) PC Member in Program Committee within the PPoPP Main Conference-track
Nikita KovalKoval, Nikita JetBrainsNetherlands Fast and Scalable Channels in Kotlin Coroutines The State-of-the-Art LCRQ Concurrent Queue Algorithm Does NOT Require CAS2
Andreas KrallKrall, Andreas Vienna University of Technology, AustriaAustria Committee Member in Steering Committee for PPoPP 2023
Sriram KrishnamoorthyKrishnamoorthy, Sriram Pacific Northwest National Laboratories Program Co-Chair in Organizing Committee for PPoPP 2023 Program Co-Chair in Program Committee within the PPoPP Main Conference-track Program Co-Chair in Workshop/Tutorial Evaluation Committee within the PPoPP Workshops and Tutorials-track
Nils KruegerKrueger, Nils Chair of Computer Architecture and Parallel Systems, Technical University of Munich Exploring the Use of WebAssembly in HPC
Milind KulkarniKulkarni, Milind Purdue UniversityUnited States Program Co-Chair in Organizing Committee for PPoPP 2023 Session Chair of Session 7: Machine Learning (part of PPoPP Main Conference) Program Co-Chair in Program Committee within the PPoPP Main Conference-track Program Co-Chair in Workshop/Tutorial Evaluation Committee within the PPoPP Workshops and Tutorials-track
L I-Ting Angelina LeeLee, I-Ting Angelina Washington University in St. Louis, USA Session Chair of Session 3: Practice (part of PPoPP Main Conference) OpenCilk: A Modular and Extensible Software Infrastructure for Fast Task-Parallel Code PC Member in Program Committee within the PPoPP Main Conference-track
Jaejin LeeLee, Jaejin Seoul National University, South Korea PC Member in Program Committee within the PPoPP Main Conference-track
Seyong LeeLee, Seyong ORNLUnited States Workshop on Extreme Heterogeneity Solutions (ExHET)
Wonchan LeeLee, Wonchan NVIDIA Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Chao LiLi, Chao Shanghai Jiao Tong University POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Dong LiLi, Dong University of California, Merced Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness
Jiajia LiLi, Jiajia North Carolina State UniversityUnited States Industry Liason in Organizing Committee for PPoPP 2023 Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness PC Member in Program Committee within the PPoPP Main Conference-track
Jing LiLi, Jing New Jersey Institute of Technology Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Kai LiLi, Kai Kent State University iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures
Shigang LiLi, Shigang Beijing University of Posts and TelecommunicationsChina Publicity Chair (Europe) in Organizing Committee for PPoPP 2023 A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Zekun LiLi, Zekun Aptos Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Zhihao LiLi, Zhihao SKLP, Institute of Computing Technology, CASChina POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Xin LiangLiang, Xin University of Kentucky Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Kehao LinLin, Kehao Hangzhou Dianzi University A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Mao LinLin, Mao University of California Merced AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Yuzhe LinLin, Yuzhe Fudan University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
He LiuLiu, He Apple Inc.United States Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Jie LiuLiu, Jie University of California, MercedUnited States Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness
Liu LiuLiu, Liu Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Xiangwen LiuLiu, Xiangwen Alibaba Inc POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Xin LiuLiu, Xin National Supercomputer center in wuxi Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Xu LiuLiu, Xu North Carolina State UniversityUnited States PC Member in Program Committee within the PPoPP Main Conference-track
Yong LiuLiu, Yong National Supercomputer center in wuxi Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Yunping LuLu, Yunping Fudan University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
Juan Gómez LunaLuna, Juan Gómez ETH Zurich High-Performance and Scalable Agent-Based Simulation with BioDynaMo
M Kanak MahadikMahadik, Kanak Adobe Research PC Member in Program Committee within the PPoPP Main Conference-track
Saeed MalekiMaleki, Saeed Microsoft ResearchUnited States GPU Communication Requires Rethinking Abstractions
Sepideh MalekiMaleki, Sepideh The University of Texas at Austin Student Travel Grant Chair in Organizing Committee for PPoPP 2023
Dahlia MalkhiMalkhi, Dahlia Chainlink Labs Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Atif MansoorMansoor, Atif The University of Western Australia POSTER: Fast Parallel Exact Inference on Bayesian Networks
Charith MendisMendis, Charith University of Illinois at Urbana-ChampaignUnited States TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks
Duane MerrillMerrill, Duane NVIDIA Corporation POSTER: Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
Ajmal MianMian, Ajmal The University of Western Australia POSTER: Fast Parallel Exact Inference on Bayesian Networks
Shouvick MondalMondal, Shouvick IIT Gandhinagar, IndiaIndia AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Adam MorrisonMorrison, Adam Tel Aviv University WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning
Frank MuellerMueller, Frank North Carolina State University, USA ERC member in Program Committee within the PPoPP Main Conference-track
Rajesh Pandian MuniasamyMuniasamy, Rajesh Pandian IIT Madras, IndiaIndia AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Madan MusuvathiMusuvathi, Madan Microsoft Research ERC member in Program Committee within the PPoPP Main Conference-track
Onur MutluMutlu, Onur ETH Zurich High-Performance and Scalable Agent-Based Simulation with BioDynaMo
N Santosh NagarakatteNagarakatte, Santosh Rutgers UniversityUnited States PC Member in Program Committee within the PPoPP Main Conference-track
Zifan NanNan, Zifan North Carolina State University, USA AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Ningming NieNie, Ningming Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Wei NiuNiu, Wei College of William & MaryUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
O Cosmin OanceaOancea, Cosmin University of Copenhagen, DenmarkDenmark PC Member in Program Committee within the PPoPP Main Conference-track
Hiroyuki OotomoOotomo, Hiroyuki Tokyo Institute of Technology Fast Eigenvalue Decomposition via WY Representation on Tensor Core
Gal OrenOren, Gal Technion - Israel Institute of TechnologyIsrael POSTER: Learning to Parallelize in a Shared-Memory Environment with Transformers
Muhammad OsamaOsama, Muhammad University of California, DavisUnited States POSTER: Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU A Programming Model for GPU Load Balancing
John D. OwensOwens, John D. University of California, Davis POSTER: Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU A Programming Model for GPU Load Balancing
P David PaduaPadua, David University of Illinois at Urbana-Champaign Committee Member in Steering Committee for PPoPP 2023
Dhabaleswar K. PandaPanda, Dhabaleswar K. Ohio State University Principles and Practice of High-Performance Deep/Machine Learning
Ayush PandeyPandey, Ayush Sorbonne-Université (LIP6) & InriaFrance AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Prashant PandeyPandey, Prashant University of Utah High-Performance Filters for GPUs
Vipin PatelPatel, Vipin Indian Institute of Technology KanpurIndia AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Ivy Bo PengPeng, Ivy Bo KTH Royal Institute of TechnologySweden PC Member in Program Committee within the PPoPP Main Conference-track
Lu PengPeng, Lu Tulane University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
Zhen PengPeng, Zhen William & MaryUnited States iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Erez PetrankPetrank, Erez TechnionIsrael Session Chair of Session 1: Principles (part of PPoPP Main Conference) POSTER: The ERA Theorem for Safe Memory Reclamation PC Member in Program Committee within the PPoPP Main Conference-track
Jacques PienaarPienaar, Jacques Google, USA PC Member in Program Committee within the PPoPP Main Conference-track
Keshav PingaliPingali, Keshav The University of Texas at Austin Committee Member in Steering Committee for PPoPP 2023
Yuval PinterPinter, Yuval POSTER: Learning to Parallelize in a Shared-Memory Environment with Transformers
Serban D. PorumbescuPorumbescu, Serban D. University of California, Davis A Programming Model for GPU Load Balancing
Louis-Noël PouchetPouchet, Louis-Noël Colorado State University, USA PC Member in Program Committee within the PPoPP Main Conference-track
Q Weining QianQian, Weining East China Normal University Elastic Averaging for Efficient Pipelined DNN Training
Zheng QuQu, Zheng University of California, Santa Barbara Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Yuying QuanQuan, Yuying University of California, Santa Barbara Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
R Ivan Radanov IvanovRadanov Ivanov, Ivan Tokyo Institute of Technology High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
Fons RademakersRademakers, Fons European Organization for Nuclear Research (CERN) High-Performance and Scalable Agent-Based Simulation with BioDynaMo
Pedro RamalheteRamalhete, Pedro Cisco Systems TL4x - Buffered Durable Transactions on Disk as Fast as in Memory 2PLSF: Two-Phase Locking with Starvation-Freedom
Rajiv RamnathRamnath, Rajiv The Ohio State University End-to-End LU Factorization of Large Matrices on GPUs
Paruj RatanaworabhanRatanaworabhan, Paruj Kasetsart UniversityThailand PC Member in Program Committee within the PPoPP Main Conference-track
Lawrence RauchwergerRauchwerger, Lawrence UIUC Committee Member in Steering Committee for PPoPP 2023
Bin RenRen, Bin College of William & MaryUnited States Artifact Evaluation Co-Chair in Organizing Committee for PPoPP 2023 iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures Artifact Evaluation Co-Chair in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Tim RogersRogers, Tim Purdue U. PC Member in Program Committee within the PPoPP Main Conference-track
Raed RomanovRomanov, Raed Higher School of Economics The State-of-the-Art LCRQ Concurrent Queue Algorithm Does NOT Require CAS2
Rubayet Rahman RongonRongon, Rubayet Rahman Florida State University AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Eric RuppertRuppert, Eric York University Practically and Theoretically Efficient Garbage Collection for Multiversioning
Neea RuschRusch, Neea Augusta UniversityUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
S William S. MosesS. Moses, William Massachusetts Institute of Technology High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
Hadi Zamani SabziSabzi, Hadi Zamani University of California Riverside Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Saday SadayappanSadayappan, Saday University of Utah, USA TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Adrià Armejach SanosaSanosa, Adrià Armejach Barcelona Supercomputing Center & Universitat Politècnica de Catalunya Efficient Direct Convolution Using Long SIMD Instructions
Alexandre SantanaSantana, Alexandre Barcelona Supercomputing Center Efficient Direct Convolution Using Long SIMD Instructions
Vivek SarkarSarkar, Vivek Georgia Institute of TechnologyUnited States Committee Member in Steering Committee for PPoPP 2023
TB SchardlSchardl, TB MIT CSAILUnited States Finance Chair in Organizing Committee for PPoPP 2023 OpenCilk: A Modular and Extensible Software Infrastructure for Fast Task-Parallel Code
Valerio SchiavoniSchiavoni, Valerio University of NeuchatelSwitzerland TL4x - Buffered Durable Transactions on Disk as Fast as in Memory
Michael ScottScott, Michael University of RochesterUnited States Session Chair of Session 2: Programming (part of PPoPP Main Conference)
Michael L. ScottScott, Michael L. University of Rochester POSTER: Transactional Composition of Nonblocking Data Structures
Aamir ShafiShafi, Aamir Principles and Practice of High-Performance Deep/Machine Learning
Ruchi ShahShah, Ruchi University of Houston Fast Eigenvalue Decomposition via WY Representation on Tensor Core
Marc ShapiroShapiro, Marc Sorbonne-Université (LIP6) & InriaFrance ERC member in Program Committee within the PPoPP Main Conference-track
Gali SheffiSheffi, Gali Technion - Israel POSTER: The ERA Theorem for Safe Memory Reclamation
Xinmin ShiShi, Xinmin Information Engineering University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Julian ShunShun, Julian MIT PC Member in Program Committee within the PPoPP Main Conference-track
Min SiSi, Min Facebook, USA Workshop on Programming Models and Applications for Multicores and Manycores (PMAM)
Jaewoong SimSim, Jaewoong Seoul National University POSTER: CuPBoP: A framework to make CUDA portable
Vidush SinghalSinghal, Vidush Purdue UniversityUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Elliott SlaughterSlaughter, Elliott SLAC National Accelerator Laboratory Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Jiawei SongSong, Jiawei National Supercomputer center in wuxi Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Shuaiwen Leon SongSong, Shuaiwen Leon University of SydneyAustralia PC Member in Program Committee within the PPoPP Main Conference-track
Xiang SongSong, Xiang Amazon Web Services DSP: Efficient GNN Training with Multiple GPUs
Alexander SpiegelmanSpiegelman, Alexander Aptos Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Hari SubramoniSubramoni, Hari The Ohio State UniversityUnited States Principles and Practice of High-Performance Deep/Machine Learning
Aravind Sukumaran-RajamSukumaran-Rajam, Aravind Meta TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Desen SunSun, Desen Beihang University PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Shixuan SunSun, Shixuan National University of Singapore POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Yifan SunSun, Yifan Northeastern University Workshop on General Purpose Processing Unit (GPGPU)
Yihan SunSun, Yihan University of California, RiversideUnited States Provably Fast and Space-Efficient Parallel Biconnectivity
Yuyan SunSun, Yuyan Huawei Technologies Co., Ltd POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Kirshanthan SundararajahSundararajah, Kirshanthan Purdue UniversityUnited States Registration Chair in Organizing Committee for PPoPP 2023
T Guangming TanTan, Guangming Chinese Academy of Sciences(CAS) PC Member in Program Committee within the PPoPP Main Conference-track
Steven (Jiaxun) TangTang, Steven (Jiaxun) University of Massachusetts Amherst AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Dingwen TaoTao, Dingwen Indiana UniversityUnited States TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Kenjiro TauraTaura, Kenjiro The University of TokyoJapan PC Member in Program Committee within the PPoPP Main Conference-track
Amit TiwariTiwari, Amit Indian Institute of Technology Madras AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Josep TorrellasTorrellas, Josep University of Illinois at Urbana-Champaign WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning
Sean TreichlerTreichler, Sean NVIDIAUnited States Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Alok TripathyTripathy, Alok University of California, Berkeley AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
U Didem UnatUnat, Didem Koç University ERC member in Program Committee within the PPoPP Main Conference-track
V Pedro Valero-LaraValero-Lara, Pedro Workshop on Extreme Heterogeneity Solutions (ExHET)
Jyothi VeduradaVedurada, Jyothi IIT HyderabadIndia PC Member in Program Committee within the PPoPP Main Conference-track
W Jian WanWan, Jian Hangzhou Dianzi University A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Chunyang WangWang, Chunyang Beihang University PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Jing WangWang, Jing Shanghai Jiao Tong University POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Jue WangWang, Jue Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Letong WangWang, Letong University of California, Riverside Provably Fast and Space-Efficient Parallel Biconnectivity
Pengyu WangWang, Pengyu Shanghai Jiao Tong University POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Yangang WangWang, Yangang Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Yufeng WangWang, Yufeng University of Illinois at Urbana-ChampaignUnited States TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks
Yuke WangWang, Yuke UC Santa BarbaraUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Zhe WangWang, Zhe Washington University in St. Louis Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Zheng WangWang, Zheng University of California, Santa BarbaraUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Yuanhao WeiWei, Yuanhao Carnegie Mellon University, USA Practically and Theoretically Efficient Garbage Collection for Multiversioning PC Member in Program Committee within the PPoPP Main Conference-track
Michele WeilandWeiland, Michele EPCC, The University of Edinburgh POSTER: AArch64 Atomics: Might they be harming your performance?
Haosen WenWen, Haosen University of Rochester POSTER: Transactional Composition of Nonblocking Data Structures
Zeyi WenWen, Zeyi The Hong Kong University of Science and Technology (Guangzhou)China POSTER: Fast Parallel Exact Inference on Bayesian Networks
Daniel WongWong, Daniel Workshop on General Purpose Processing Unit (GPGPU)
Hanqing WuWu, Hanqing Alibaba Inc POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Panruo WuWu, Panruo University of Houston Fast Eigenvalue Decomposition via WY Representation on Tensor Core
Peng WuWu, Peng FacebookUnited States PyTorch 2.0 — the Journey to Bringing Compiler Technologies to the Core of PyTorch
X Yang XiaXia, Yang End-to-End LU Factorization of Large Matrices on GPUs
Yu XiaXia, Yu MIT Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Lizhi XiangXiang, Lizhi University of utah TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Mingcan XiangXiang, Mingcan University of Massachusetts AmherstUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Zhuolun XiangXiang, Zhuolun Aptos Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Yuan XieXie, Yuan UCSB Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Zhen XieXie, Zhen Argonne National LaboratoryUnited States Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness
Chen XuXu, Chen East China Normal University Elastic Averaging for Efficient Pipelined DNN Training
Cheng XuXu, Cheng Shanghai Jiao Tong University POSTER: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing
Helen XuXu, Helen Lawrence Berkeley National Laboratory AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Meng XuXu, Meng Apple Inc. Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Yuanchao XuXu, Yuanchao North Carolina State UniversityUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Y Xiao YanYan, Xiao Southern University of Science and Technology DSP: Efficient GNN Training with Multiple GPUs
Guangwen YangYang, Guangwen Tsinghua University Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Hanmei YangYang, Hanmei University of Massachusetts Amherst AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Kehan YaoYao, Kehan Hangzhou Dianzi University A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Tiechui YaoYao, Tiechui Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Katherine YelickYelick, Katherine University of California at Berkeley & Lawrence Berkeley National Lab High-Performance Filters for GPUs
Serif YesilYesil, Serif University of Illinois Urbana-Champaign WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning
Miao YinYin, Miao Rutgers University TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Xizhe YinYin, Xizhe University of California, RiversideUnited States AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Rio YokotaYokota, Rio Tokyo Institute of Technology Publicity Chair (Aisa) in Organizing Committee for PPoPP 2023 Fast Eigenvalue Decomposition via WY Representation on Tensor Core
Jeffrey YoungYoung, Jeffrey Georgia Institute of Technology POSTER: CuPBoP: A framework to make CUDA portable
Bo YuanYuan, Bo Rutgers University TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Z Yan ZengZeng, Yan Hangzhou Dianzi University A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Chengming ZhangZhang, Chengming Indiana University TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Chris ZhangZhang, Chris University of California, Santa Barbara AEC Member in Artifact Evaluation Committee within the PPoPP Artifact Evaluation-track
Fangfang ZhangZhang, Fangfang Qilu University of Technology POSTER: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems
Fengzhe ZhangZhang, Fengzhe Fudan University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
Haibo ZhangZhang, Haibo University of Otago POSTER: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems
Jilin ZhangZhang, Jilin Hangzhou Dianzi University A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Minjia ZhangZhang, Minjia Microsoft ResearchUnited States iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures
Shaoshuai ZhangZhang, Shaoshuai University of Houston Fast Eigenvalue Decomposition via WY Representation on Tensor Core
Weihua ZhangZhang, Weihua Fudan University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
Yiwei ZhangZhang, Yiwei SKLP, Institute of Computing Technology, CAS POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Yunquan ZhangZhang, Yunquan SKLP, Institute of Computing Technology, CAS POSTER: Generating Fast FFT Kernels on CPUs via FFT-Specific Intrinsics
Chuanlei ZhaoZhao, Chuanlei Fudan University Boosting Performance and QoS for Concurrent GPU B+trees by Combining-based Synchronization
Jinhao ZhaoZhao, Jinhao Washington University in St. Louis Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores
Kai ZhaoZhao, Kai University of Alabama at Birmingham Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Chenguang ZhengZheng, Chenguang The Chinese University of Hong Kong DSP: Efficient GNN Training with Multiple GPUs
Da ZhengZheng, Da Amazon Web Services DSP: Efficient GNN Training with Multiple GPUs
Aoying ZhouZhou, Aoying East China Normal University Elastic Averaging for Efficient Pipelined DNN Training
Chunbao ZhouZhou, Chunbao Computer Network Information Center, Chinese Academy of Sciences A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations
Qihui ZhouZhou, Qihui The Chinese University of Hong Kong DSP: Efficient GNN Training with Multiple GPUs
Runtian ZhouZhou, Runtian Aptos Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing
Oleksandr ZinenkoZinenko, Oleksandr GoogleFrance High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs