Exploring the Patterns of Social Behavior in GitHub Yue Yu, Gang Yin, Huaimin Wang, Tao Wang National Laboratory for Parallel and Distributed Processing School of Computer Science, National University of Defense Technolo

Source URL: yuyue.github.io

Laxmikant V. Kalé Professor, Department of Computer Science University of Illinois at Urbana-Champaign (UIUC) , (A. Education and Training Institute of Technology, Banaras Hindu U

Source URL: charm.cs.uiuc.edu

• Computing
• Concurrent computing
• Supercomputers
• Klaus Schulten
• Parallel computing
• Petascale computing
• Charm++
• Lawrence Livermore National Laboratory
• International Parallel and Distributed Processing Symposium

Transformer: A Functional-Driven Cycle-Accurate Multicore Simulator Zhenman Fang1,2 , Qinghao Min2 , Keyong Zhou2 , Yi Lu2 , Yibin Hu2 , Weihua Zhang2 , Haibo Chen3 , Jian Li4 , Binyu Zang2 1 The State Key Lab of ASIC &

Source URL: ipads.se.sjtu.edu.cn

• Parallel computing
• Central processing unit
• Computer architecture
• Instruction set architectures
• Microprocessors
• CPU cache
• Computer architecture simulator
• ARM architecture
• Multi-core processor
• Speedup
• Emulator
• Microcode

1 Detecting Bottlenecks in Parallel DAG-based Data Flow Programs Dominic Battr´e, Matthias Hovestadt, Bj¨orn Lohrmann, Alexander Stanik and Daniel Warneke Technische Universit¨at Berlin

Source URL: stratosphere.eu

• Computing
• Concurrent computing
• Parallel computing
• Network performance
• Computer performance
• Data parallelism
• I/O bound
• Data-intensive computing
• Bottleneck
• Task Manager
• Apache Hadoop
• Central processing unit

POST-SIEVING ON GPUs Andrea Miele1, Joppe W. Bos2, Thorsten Kleinjung1, Arjen K. Lenstra1 1LACAL,

Source URL: caramba.loria.fr

• Computing
• Computer architecture
• Computer hardware
• Graphics hardware
• Video cards
• Parallel computing
• GPGPU
• Integer factorization algorithms
• Fermi
• General number field sieve
• CUDA
• General-purpose computing on graphics processing units

Mining and Recommending Software Features across Multiple Web Repositories Yue Yu, Huaimin Wang, Gang Yin, Bo Liu National Laboratory for Parallel and Distributed Processing School of Computer Science, National Universit

Source URL: yuyue.github.io

Biomanycores, a repository of interoperable open-source code for many-cores bioinformatics Jean-St´ephane Varr´e St´ephane Janot

Source URL: www.open-bio.org

• Computing
• Concurrent computing
• Parallel computing
• Computer programming
• GPGPU
• Bioinformatics
• Graphics hardware
• Computer architecture
• OpenCL
• CUDA
• SmithWaterman algorithm
• Graphics processing unit

Resistive Associative Processor L. Yavits, S. Kvatinsky, A. Morad, and R. Ginosar Abstract— Associative Processor (AP) combines data storage and data processing, and functions simultaneously as a massively parallel arr

Source URL: webee.technion.ac.il

The OpenACC Application Programming Interface R 1

Source URL: www.openacc.org

• Parallel computing
• OpenACC
• OpenMP
• OpenCL
• Compute kernel
• CUDA
• Graphics processing unit
• Memory barrier
• Thread
• Futures and promises
• Barrier
• Central processing unit

Efficient Mapping of Irregular C++ Applications to Integrated GPUs Rajkishore Barik (Presenter) Rashid Kaleem, UT Austin Deepak Majeti, Rice University

Source URL: cgo.org

• Parallel computing
• GPGPU
• Application programming interfaces
• Graphics hardware
• Fortran
• OpenCL
• Graphics processing unit
• CUDA
• OpenACC
• C++ AMP
• Compute kernel
• Clang