| 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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Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo |
Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures Details |
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Carpool: a bufferless on-chip network supporting adaptive multicast and hotspot alleviation Xi-Yue Xiang, Wentao Shi, Saugata Ghose, Lu Peng, Onur Mutlu, Nian-Feng Tzeng |
Carpool: a bufferless on-chip network supporting adaptive multicast and hotspot alleviation Details |
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Iteration-fusing conjugate gradient Sicong Zhuang, Marc Casas |
Iteration-fusing conjugate gradient Details |
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Frequent subtree mining on the automata processor: challenges and opportunities Elaheh Sadredini, Reza Rahimi, Ke Wang, Kevin Skadron |
Frequent subtree mining on the automata processor: challenges and opportunities Details |
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Supporting automatic recovery in offloaded distributed programming models through MPI-3 techniques Antonio J. Peña, Vicenç Beltran, Carsten Clauss, Thomas Moschny |
Supporting automatic recovery in offloaded distributed programming models through MPI-3 techniques Details |
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SSDUP: a traffic-aware ssd burst buffer for HPC systems Xuanhua Shi, Ming Li, Wei Liu, Hai Jin, Chen Yu, Yong Chen |
SSDUP: a traffic-aware ssd burst buffer for HPC systems Details |
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Seongdae Yu, Seongbeom Park, Woongki Baek |
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HPAT: high performance analytics with scripting ease-of-use Ehsan Totoni, Todd A. Anderson, Tatiana Shpeisman |
HPAT: high performance analytics with scripting ease-of-use Details |
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A performance analysis framework for exploiting GPU microarchitectural capability Ke-ren Zhou, Guangming Tan, Xiuxia Zhang, Chaowei Wang, Ninghui Sun |
A performance analysis framework for exploiting GPU microarchitectural capability Details |
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GraphGrind: addressing load imbalance of graph partitioning Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos |
GraphGrind: addressing load imbalance of graph partitioning Details |
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Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation Peng Jiang, Gagan Agrawal |
Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation Details |
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On improving performance of sparse matrix-matrix multiplication on GPUs Rakshith Kunchum, Ankur Chaudhry, Aravind Sukumaran-Rajam, Qingpeng Niu, Israt Nisa, P. Sadayappan |
On improving performance of sparse matrix-matrix multiplication on GPUs Details |
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Demystifying automata processing: GPUs, FPGAs or Micron's AP? Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi |
Demystifying automata processing: GPUs, FPGAs or Micron's AP? Details |
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Way-combining directory: an adaptive and scalable low-cost coherence directory J. Rubén Titos Gil, Antonio Flores, Ricardo Fernández Pascual, Alberto Ros, Manuel E. Acacio |
Way-combining directory: an adaptive and scalable low-cost coherence directory Details |
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Globally homogeneous, locally adaptive sparse matrix-vector multiplication on the GPU Markus Steinberger, Rhaleb Zayer, Hans-Peter Seidel |
Globally homogeneous, locally adaptive sparse matrix-vector multiplication on the GPU Details |
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Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra |
Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs Details |
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libPRISM: an intelligent adaptation of prefetch and SMT levels Cristobal Ortega, Miquel Moretó, Marc Casas, Ramon Bertran, Alper Buyuktosunoglu, Alexandre E. Eichenberger, Pradip Bose |
libPRISM: an intelligent adaptation of prefetch and SMT levels Details |
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Enabling scalability-sensitive speculative parallelization for FSM computations Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song |
Enabling scalability-sensitive speculative parallelization for FSM computations Details |
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Packet coalescing exploiting data redundancy in GPGPU architectures Kyung Hoon Kim, Rahul Boyapati, Jiayi Huang, Yuho Jin, Ki Hwan Yum, Eun Jung Kim |
Packet coalescing exploiting data redundancy in GPGPU architectures Details |
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SPIRIT: a framework for creating distributed recursive tree applications Nikhil Hegde, Jianqiao Liu, Milind Kulkarni |
SPIRIT: a framework for creating distributed recursive tree applications Details |
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Dynamic scheduling for efficient hierarchical sparse matrix operations on the GPU Andreas Derler, Rhaleb Zayer, Hans-Peter Seidel, Markus Steinberger |
Dynamic scheduling for efficient hierarchical sparse matrix operations on the GPU Details |
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Artifacts are not available yet, but might be available in the future. Please contact the authors directly for more information.
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Automatic topology mapping of diverse large-scale parallel applications Juan J. Galvez, Nikhil Jain, Laxmikant V. Kalé |
Automatic topology mapping of diverse large-scale parallel applications Details |
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Optimizing recursive task parallel programs Suyash Gupta, Rahul Shrivastava, V. Krishna Nandivada |
Optimizing recursive task parallel programs Details |
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Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng |
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HiPA: history-based piecewise approximation for functions Aurangzeb, Rudolf Eigenmann |
HiPA: history-based piecewise approximation for functions Details |
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Simplification and runtime resolution of data dependence constraints for loop transformations Diogo Nunes Sampaio, Louis-Noël Pouchet, Fabrice Rastello |
Simplification and runtime resolution of data dependence constraints for loop transformations Details |
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Revisiting phased transactional memory Joao P. L. de Carvalho, Guido Araujo, Alexandro Baldassin |
Revisiting phased transactional memory Details |
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Aleksandar Zlateski, H. Sebastian Seung |
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