| 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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Multiple Pattern Matching for Network Security Applications: Acceleration through Vectorization Charalampos Stylianopoulos, Magnus Almgren, Olaf Landsiedel, Marina Papatriantafilou |
Multiple Pattern Matching for Network Security Applications: Acceleration through Vectorization Details |
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Parallel Algorithm for Single-Source Earliest-Arrival Problem in Temporal Graphs Peng Ni, Masatoshi Hanai, Wen Jun Tan, Chen Wang, Wentong Cai |
Parallel Algorithm for Single-Source Earliest-Arrival Problem in Temporal Graphs Details |
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Boosting the Efficiency of HPCG and Graph500 with Near-Data Processing Erik Vermij, Leandro Fiorin, Christoph Hagleitner, Koen Bertels |
Boosting the Efficiency of HPCG and Graph500 with Near-Data Processing Details |
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ES2: Aiming at an Optimal Virtual I/O Event Path Xiaokang Hu, Wang Zhang, Jian Li, Ruhui Ma, Feng Wu, Haibing Guan |
ES2: Aiming at an Optimal Virtual I/O Event Path Details |
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The Cloud as an OpenMP Offloading Device Hervé Yviquel, Guido Araujo |
The Cloud as an OpenMP Offloading Device Details |
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A Parallel TSP-Based Algorithm for Balanced Graph Partitioning Harshvardhan Das, Subodh Kumar |
A Parallel TSP-Based Algorithm for Balanced Graph Partitioning Details |
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Network Aware Multi-User Computation Partitioning in Mobile Edge Clouds Lei Yang, Jiannong Cao, Zhenyu Wang, Weigang Wu |
Network Aware Multi-User Computation Partitioning in Mobile Edge Clouds Details |
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Athena Elafrou, Georgios I. Goumas, Nectarios Koziris |
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An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications Guojing Cong, Onkar Bhardwaj, Minwei Feng |
An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications Details |
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Parallel Space-Time Kernel Density Estimation Erik Saule, Dinesh Panchananam, Alexander Hohl, Wenwu Tang, Eric Delmelle |
Parallel Space-Time Kernel Density Estimation Details |
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Overlapping Data Transfers with Computation on GPU with Tiles Burak Bastem, Didem Unat, Weiqun Zhang, Ann S. Almgren, John Shalf |
Overlapping Data Transfers with Computation on GPU with Tiles Details |
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Takumi Honda, Shinnosuke Yamamoto, Hiroaki Honda, Koji Nakano, Yasuaki Ito |
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Parallel Algorithms for the Computation of Cycles in Relative Neighborhood Graphs Hari Sundar, Parmeshwar Khurd |
Parallel Algorithms for the Computation of Cycles in Relative Neighborhood Graphs Details |
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Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor Lijuan Jiang, Chao Yang, Yulong Ao, Wanwang Yin, Wenjing Ma, Qiao Sun, Fangfang Liu, Rongfen Lin, Peng Zhang |
Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor Details |
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Non-Sequential Striping for Distributed Storage Systems with Different Redundancy Schemes Yanwen Xie, Dan Feng, Fang Wang |
Non-Sequential Striping for Distributed Storage Systems with Different Redundancy Schemes Details |
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Constrained Tensor Factorization with Accelerated AO-ADMM Shaden Smith, Alec Beri, George Karypis |
Constrained Tensor Factorization with Accelerated AO-ADMM Details |
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E-Storm: Replication-Based State Management in Distributed Stream Processing Systems Xunyun Liu, Aaron Harwood, Shanika Karunasekera, Benjamin I. P. Rubinstein, Rajkumar Buyya |
E-Storm: Replication-Based State Management in Distributed Stream Processing Systems Details |
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A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics Long Cheng, Ying Wang, Yulong Pei, Dick H. J. Epema |
A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics Details |
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Large-Scale Parallelization of Smoothed Particle Hydrodynamics Method on Heterogeneous Cluster Yingrui Wang, Leisheng Li, Rong Tian |
Large-Scale Parallelization of Smoothed Particle Hydrodynamics Method on Heterogeneous Cluster Details |
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Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor James Lin, Zhigeng Xu, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka |
Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor Details |
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Preparing HPC Applications for the Exascale Era: A Decoupling Strategy Ivy Bo Peng, Roberto Gioiosa, Gokcen Kestor, Erwin Laure, Stefano Markidis |
Preparing HPC Applications for the Exascale Era: A Decoupling Strategy Details |
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High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis |
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters Details |
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HyPPI NoC: Bringing Hybrid Plasmonics to an Opto-Electronic Network-on-Chip Vikram K. Narayana, Shuai Sun, Armin Mehrabian, Volker J. Sorger, Tarek A. El-Ghazawi |
HyPPI NoC: Bringing Hybrid Plasmonics to an Opto-Electronic Network-on-Chip Details |
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Autotuning GPU Kernels via Static and Predictive Analysis Robert V. Lim, Boyana Norris, Allen D. Malony |
Autotuning GPU Kernels via Static and Predictive Analysis Details |
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Shixiong Xu, David Gregg |
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Predicting Response Latency Percentiles for Cloud Object Storage Systems Yi Su, Dan Feng, Yu Hua, Zhan Shi |
Predicting Response Latency Percentiles for Cloud Object Storage Systems Details |
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Mehmet Fatih Aktas, Javier Diaz Montes, Ivan Rodero, Manish Parashar |
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Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems Rong Ge, Pengfei Zou, Xizhou Feng |
Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems Details |
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Practical Experience with Transactional Lock Elision Tingzhe Zhou, Pantea Zardoshti, Michael F. Spear |
Practical Experience with Transactional Lock Elision Details |
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Luyu Li, Houxiang Ji, Chentao Wu, Jie Li, Minyi Guo |
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Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí |
Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning Details |
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Parallel Construction of Simultaneous Deterministic Finite Automata on Shared-Memory Multicores Minyoung Jung, Jinwoo Park, Johann Blieberger, Bernd Burgstaller |
Parallel Construction of Simultaneous Deterministic Finite Automata on Shared-Memory Multicores Details |
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Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Maqbool Hashmi, Bracy Elton, Dhabaleswar K. Panda |
Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning Details |
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Data Caching in Next Generation Mobile Cloud Services, Online vs. Off-Line Yang Wang, Shuibing He, Xiaopeng Fan, Chengzhong Xu, Joseph Culberson, Joseph Horton |
Data Caching in Next Generation Mobile Cloud Services, Online vs. Off-Line Details |
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High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka |
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU Details |
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Nearly Balanced Work Partitioning for Heterogeneous Algorithms Mallipeddi Hardhik, Dip Sankar Banerjee, Kiran Raj Ramamoorthy, Kishore Kothapalli, Kannan Srinathan |
Nearly Balanced Work Partitioning for Heterogeneous Algorithms Details |
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Scalable Write Allocation in the WAFL File System Matthew Curtis-Maury, Ram Kesavan, Mrinal K. Bhattacharjee |
Scalable Write Allocation in the WAFL File System Details |
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MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling Akshay Venkatesh, Khaled Hamidouche, Sreeram Potluri, Davide Rossetti, Ching-Hsiang Chu, Dhabaleswar K. Panda |
MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling Details |
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Eduardo Moscoso Rubino, Alberto Jose Alvares, Raul Marin Prades, Pedro Sanz Valero |
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Fading-Resistant Link Scheduling in Wireless Networks Chenxi Qiu, Haiying Shen |
Fading-Resistant Link Scheduling in Wireless Networks Details |
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CELIA: Cost-Time Performance of Elastic Applications on Cloud Sunimal Rathnayake, Dumitrel Loghin, Yong Meng Teo |
CELIA: Cost-Time Performance of Elastic Applications on Cloud Details |
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GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña |
GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations Details |
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Greed Is Good: Parallel Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures Mustafa Kemal Tas, Kamer Kaya, Erik Saule |
Greed Is Good: Parallel Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures Details |
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A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs Kamesh Arumugam, Desh Ranjan, Mohammad Zubair, Balsa Terzic, Alexander Godunov, Tunazzina Islam |
A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs Details |
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PDS: An I/O-Efficient Scaling Scheme for Parity Declustered Data Layout Zhipeng Li, Yinlong Xu, Yongkun Li, Chengjin Tian, Youhui Bai |
PDS: An I/O-Efficient Scaling Scheme for Parity Declustered Data Layout Details |
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Scheduling Independent Tasks in Parallel under Power Constraints Ayham Kassab, Jean-Marc Nicod, Laurent Philippe, Veronika Rehn-Sonigo |
Scheduling Independent Tasks in Parallel under Power Constraints Details |
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Order/Radix Problem: Towards Low End-to-End Latency Interconnection Networks Ryota Yasudo, Michihiro Koibuchi, Koji Nakano, Hiroki Matsutani, Hideharu Amano |
Order/Radix Problem: Towards Low End-to-End Latency Interconnection Networks Details |
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Efficient Data Sharing on Heterogeneous Systems Victor Garcia-Flores, Eduard Ayguadé, Antonio J. Peña |
Efficient Data Sharing on Heterogeneous Systems Details |
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Exploiting GPUs for Fast Force-Directed Visualization of Large-Scale Networks Govert G. Brinkmann, Kristian F. D. Rietveld, Frank W. Takes |
Exploiting GPUs for Fast Force-Directed Visualization of Large-Scale Networks Details |
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A Scalable Hierarchical Semi-Separable Library for Heterogeneous Clusters Isuru Dilanka Fernando, Sanath Jayasena, Milinda Fernando, Hari Sundar |
A Scalable Hierarchical Semi-Separable Library for Heterogeneous Clusters Details |
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Resilience for Stencil Computations with Latent Errors Aiman Fang, Aurélien Cavelan, Yves Robert, Andrew A. Chien |
Resilience for Stencil Computations with Latent Errors Details |
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A Dynamic Resource Controller for a Lambda Architecture MohammadReza HoseinyFarahabady, Javid Taheri, Zahir Tari, Albert Y. Zomaya |
A Dynamic Resource Controller for a Lambda Architecture Details |
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Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart |
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Xiaoyang Qu, Jiguang Wan, Fengguang Song, Xiaozhao Zhuang, Fei Wu, Changsheng Xie |
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GCN: GPU-Based Cube CNN Framework for Hyperspectral Image Classification Han Dong, Tao Li, Jiabing Leng, Lingyan Kong, Gang Bai |
GCN: GPU-Based Cube CNN Framework for Hyperspectral Image Classification Details |
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Sudip K. Seal, Mark R. Cianciosa, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Ezekial A. Unterberg |
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Locality-Aware Dynamic Task Graph Scheduling Jordyn Maglalang, Sriram Krishnamoorthy, Kunal Agrawal |
Locality-Aware Dynamic Task Graph Scheduling Details |
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Minho Bae, Junho Eum, Donghoon Kim, Sangyoon Oh |
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Runtime Data Layout Scheduling for Machine Learning Dataset Yang You, James Demmel |
Runtime Data Layout Scheduling for Machine Learning Dataset Details |
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Accelerating Graph Analytics by Utilising the Memory Locality of Graph Partitioning Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos |
Accelerating Graph Analytics by Utilising the Memory Locality of Graph Partitioning Details |
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