Title/Authors | Title | Research Artifacts
[?] A research
artifact is any by-product of a research project that is not
directly included in the published research paper. In Computer
Science research this is often source code and data sets, but
it could also be media, documentation, inputs to proof
assistants, shell-scripts to run experiments, etc.
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Two concurrent data structures for efficient datalog query processing Herbert Jordan, Bernhard Scholz, Pavle Subotic |
Two concurrent data structures for efficient datalog query processing Details |
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Reducing transaction aborts by looking to the future Nachshon Cohen, Erez Petrank, James R. Larus |
Reducing transaction aborts by looking to the future Details |
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Graph partitioning applied to DAG scheduling to reduce NUMA effects Isaac Sánchez Barrera, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero |
Graph partitioning applied to DAG scheduling to reduce NUMA effects Details |
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Shared-memory parallelization of MTTKRP for dense tensors Koby Hayashi, Grey Ballard, Yujie Jiang, Michael J. Tobia |
Shared-memory parallelization of MTTKRP for dense tensors Details |
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Strong trylocks for reader-writer locks Andreia Correia, Pedro Ramalhete |
Strong trylocks for reader-writer locks Details |
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DisCVar: discovering critical variables using algorithmic differentiation for transient faults Harshitha Menon, Kathryn Mohror |
DisCVar: discovering critical variables using algorithmic differentiation for transient faults Details |
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A microbenchmark to study GPU performance models Vasily Volkov |
A microbenchmark to study GPU performance models Details |
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Performance challenges in modular parallel programs Umut A. Acar, Vitaly Aksenov, Arthur Charguéraud, Mike Rainey |
Performance challenges in modular parallel programs Details |
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Juggler: a dependence-aware task-based execution framework for GPUs Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, Laxmi N. Bhuyan |
Juggler: a dependence-aware task-based execution framework for GPUs Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
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Practical concurrent traversals in search trees Dana Drachsler-Cohen, Martin T. Vechev, Eran Yahav |
Practical concurrent traversals in search trees Details |
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Quantifying and reducing execution variance in STM via model driven commit optimization Girish Mururu, Ada Gavrilovska, Santosh Pande |
Quantifying and reducing execution variance in STM via model driven commit optimization Details |
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An effective fusion and tile size model for optimizing image processing pipelines Abhinav Jangda, Uday Bondhugula |
An effective fusion and tile size model for optimizing image processing pipelines Details |
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Register-based implementation of the sparse general matrix-matrix multiplication on GPUs Junhong Liu, Xin He, Weifeng Liu, Guangming Tan |
Register-based implementation of the sparse general matrix-matrix multiplication on GPUs Details |
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SecureMR: secure mapreduce using homomorphic encryption and program partitioning Yao Dong, Ana Milanova, Julian Dolby |
SecureMR: secure mapreduce using homomorphic encryption and program partitioning Details |
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High-performance genomic analysis framework with in-memory computing Xueqi Li, Guangming Tan, Bingchen Wang, Ninghui Sun |
High-performance genomic analysis framework with in-memory computing Details |
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Efficient shuffle management with SCache for DAG computing frameworks Zhouwang Fu, Tao Song, Zhengwei Qi, Haibing Guan |
Efficient shuffle management with SCache for DAG computing frameworks Details |
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Superneurons: dynamic GPU memory management for training deep neural networks Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska |
Superneurons: dynamic GPU memory management for training deep neural networks Details |
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Revealing parallel scans and reductions in sequential loops through function reconstruction Peng Jiang, Gagan Agrawal |
Revealing parallel scans and reductions in sequential loops through function reconstruction Details |
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Safe privatization in transactional memory Artem Khyzha, Hagit Attiya, Alexey Gotsman, Noam Rinetzky |
Safe privatization in transactional memory Details |
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Automated code acceleration targeting heterogeneous openCL devices Heinrich Riebler, Gavin Vaz, Tobias Kenter, Christian Plessl |
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Hierarchical memory management for mutable state Adrien Guatto, Sam Westrick, Ram Raghunathan, Umut A. Acar, Matthew Fluet |
Hierarchical memory management for mutable state Details |
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A scalable distance-1 vertex coloring algorithm for power-law graphs Jesun Sahariar Firoz, Marcin Zalewski, Andrew Lumsdaine |
A scalable distance-1 vertex coloring algorithm for power-law graphs Details |
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Bridging the gap between deep learning and sparse matrix format selection Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen |
Bridging the gap between deep learning and sparse matrix format selection Details |
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Harnessing epoch-based reclamation for efficient range queries Maya Arbel-Raviv, Trevor Brown |
Harnessing epoch-based reclamation for efficient range queries Details |
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Transparent GPU memory management for DNNs Jung-Ho Park, Hyungmin Cho, Wookeun Jung, Jaejin Lee |
Transparent GPU memory management for DNNs Details |
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Register optimizations for stencils on GPUs Prashant Singh Rawat, Fabrice Rastello, Aravind Sukumaran-Rajam, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan |
Register optimizations for stencils on GPUs Details |
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Featherlight on-the-fly false-sharing detection Milind Chabbi, Shasha Wen, Xu Liu |
Featherlight on-the-fly false-sharing detection Details |
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vSensor: leveraging fixed-workload snippets of programs for performance variance detection Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen |
vSensor: leveraging fixed-workload snippets of programs for performance variance detection Details |
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Stamp-it, amortized constant-time memory reclamation in comparison to five other schemes Manuel Pöter, Jesper Larsson Träff |
Stamp-it, amortized constant-time memory reclamation in comparison to five other schemes Details |
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Optimizing N-dimensional, winograd-based convolution for manycore CPUs Zhen Jia, Aleksandar Zlateski, Frédo Durand, Kai Li |
Optimizing N-dimensional, winograd-based convolution for manycore CPUs Details |
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Interval-based memory reclamation Haosen Wen, Joseph Izraelevitz, Wentao Cai, H. Alan Beadle, Michael L. Scott |
Interval-based memory reclamation Details |
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SIMD code generation for stencils on brick decompositions Tuowen Zhao, Mary W. Hall, Protonu Basu, Samuel Williams, Hans Johansen |
SIMD code generation for stencils on brick decompositions Details |
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Efficient parallel determinacy race detection for two-dimensional dags Yifan Xu, I-Ting Angelina Lee, Kunal Agrawal |
Efficient parallel determinacy race detection for two-dimensional dags Details |
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FlashR: parallelize and scale R for machine learning using SSDs Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns |
FlashR: parallelize and scale R for machine learning using SSDs Details |
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Lazygraph: lazy data coherency for replicas in distributed graph-parallel computation Lei Wang, Liangji Zhuang, Junhang Chen, Huimin Cui, Fang Lv, Ying Liu, Xiaobing Feng |
Lazygraph: lazy data coherency for replicas in distributed graph-parallel computation Details |
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Cache-tries: concurrent lock-free hash tries with constant-time operations Aleksandar Prokopec |
Cache-tries: concurrent lock-free hash tries with constant-time operations Details |
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Communication-avoiding parallel minimum cuts and connected components Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler |
Communication-avoiding parallel minimum cuts and connected components Details |
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VerifiedFT: a verified, high-performance precise dynamic race detector James R. Wilcox, Cormac Flanagan, Stephen N. Freund |
VerifiedFT: a verified, high-performance precise dynamic race detector Details |
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A persistent lock-free queue for non-volatile memory Michal Friedman, Maurice Herlihy, Virendra J. Marathe, Erez Petrank |
A persistent lock-free queue for non-volatile memory Details |
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HPVM: heterogeneous parallel virtual machine Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve |
HPVM: heterogeneous parallel virtual machine Details |
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A scalable queue for work distribution on GPUs Bernhard Kerbl, Jörg Müller, Michael Kenzel, Dieter Schmalstieg, Markus Steinberger |
A scalable queue for work distribution on GPUs Details |
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A predictable synchronisation algorithm Stefan Reif, Wolfgang Schröder-Preikschat |
A predictable synchronisation algorithm Details |
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Making pull-based graph processing performant Samuel Grossman, Heiner Litz, Christos Kozyrakis |
Making pull-based graph processing performant Details |
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Reducing the burden of parallel loop schedulers for many-core processors Mahwish Arif, Hans Vandierendonck |
Reducing the burden of parallel loop schedulers for many-core processors Details |
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Performance modeling for GPUs using abstract kernel emulation Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan |
Performance modeling for GPUs using abstract kernel emulation Details |
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Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems Bo Liu, Wenbin Jiang, Hai Jin, Xuanhua Shi, Yang Ma |
Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems Details |
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swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures Xinliang Wang, Weifeng Liu, Wei Xue, Li Wu |
swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures Details |
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Designing scalable FPGA architectures using high-level synthesis Johannes de Fine Licht, Michaela Blott, Torsten Hoefler |
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Yihan Sun, Daniel Ferizovic, Guy E. Blelloch |
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Griffin: uniting CPU and GPU in information retrieval systems for intra-query parallelism Yang Liu, Jianguo Wang, Steven Swanson |
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