high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. (DK) Panda

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Tags: Computer science, CUDA, Distributed computing, MPI, nVidia, Package, Performance, Python, Tesla V100

January 31, 2021 by hgpu

CPU/GPU Code Acceleration on Heterogeneous Systems and Code Verification for CFD Applications

Weicheng Xue

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Tags: cfd, CUDA, Finite difference, Fluid dynamics, Heterogeneous systems, MPI, nVidia, OpenACC, Tesla C2075, Tesla P100, Tesla V100, Thesis

January 31, 2021 by hgpu

Easy and Efficient Agent-based Simulations with the OpenABL Language and Compiler

Biagio Cosenza, Nikita Popov, Ben Juurlink, Paul Richmond, Mozhgan Kabiri Chimeh, Carmine Spagnuolo, Gennaro Cordasco, Vittorio Scarano

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Tags: Compilers, Computer science, CUDA, DSL, nVidia, nVidia GeForce GTX Titan XP, Package

January 24, 2021 by hgpu

Performance Analysis and Improvement of Parallel Differential Evolution

Zibin Pan

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Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 760

January 24, 2021 by hgpu

Non-Parametric Adaptive Network Pruning

Lin Mingbao, Ji Rongrong, Li Shaojie, Wang Yan, Wu Yongjian, Huang Feiyue, Ye Qixiang

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Tags: Computer science, CUDA, Deep learning, nVidia, Package, PyTorch, Tesla V100

January 24, 2021 by hgpu

Learning Massive Graph Embeddings on a Single Machine

Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

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Tags: Computer science, CUDA, Databases, Graph theory, Machine learning, nVidia, Tesla V100

January 24, 2021 by hgpu

StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems

Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler

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Tags: Code generation, Computer science, CUDA, Distributed computing, FPGA, Heterogeneous systems, nVidia, OpenCL, Package, Tesla P100, Tesla V100

January 24, 2021 by hgpu

Implementation of Autoencoders with Systolic Arrays through OpenCL

Rafael Gadea-Gironés, Vicente Herrero-Bosch, Jose Monzó-Ferrer, Ricardo Colom-Paleros

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Tags: Algorithms, Computer science, Deep learning, FPGA, HLS, Neural networks, OpenCL

January 17, 2021 by hgpu

CFD code adaptation to the FPGA architecture

Krzysztof Rojek, Kamil Halbiniak, Lukasz Kuczynski

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Tags: cfd, Fluid dynamics, FPGA, Numerical simulation, OpenCL, Weather prediction

January 17, 2021 by hgpu

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

Wei Min, Weiming Liang, Hang Yin, Zhurong Wang, Mei Li, Alok Lal

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Tags: Algorithms, Clustering, Deep learning, Finance, nVidia, Risk Management, Tesla M40

January 17, 2021 by hgpu

linus: Conveniently explore, share, and present large-scale biological trajectory data from a web browser

Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf

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Tags: Biology, OpenCL, Package, PyOpenCL, Python

January 10, 2021 by hgpu

Efficient Nearest-Neighbor Data Sharing in GPUs

Negin Nematollahi, Mohammad Sadrosadati, Hajar Falahati, Marzieh Barkhordar, Mario Paulo Drumond, Hamid Sarbazi-Azad, Babak Falsafi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 980, Stencil computation

January 10, 2021 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Programming

Efficient MPI-based Communication for GPU-Accelerated Dask Applications

CPU/GPU Code Acceleration on Heterogeneous Systems and Code Verification for CFD Applications

Easy and Efficient Agent-based Simulations with the OpenABL Language and Compiler

Performance Analysis and Improvement of Parallel Differential Evolution

Non-Parametric Adaptive Network Pruning

Learning Massive Graph Embeddings on a Single Machine

StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems

Implementation of Autoencoders with Systolic Arrays through OpenCL

CFD code adaptation to the FPGA architecture

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

linus: Conveniently explore, share, and present large-scale biological trajectory data from a web browser

Efficient Nearest-Neighbor Data Sharing in GPUs

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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