high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Acceleration of a Full-scale Industrial CFD Application with OP2

Istvan Z. Reguly, Gihan R. Mudalige, Carlo Bertolli, Michael B. Giles, Adam Betts, Paul H. J. Kelly, David Radford

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Tags: Computer science, CUDA, Fluid dynamics, MPI, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Improving Cache Locality for GPU-based Volume Rendering

Y. Sugimoto, F. Ino, K. Hagihara

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Rendering

March 28, 2014 by hgpu

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

M. Heimel, F. Haase, M. Meinke, S. Breß, M. Saecker, V. Markl

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Tags: Databases, Heterogeneous systems, OpenCL, Performance

March 24, 2014 by hgpu

Dynamic Load Balancing using Graphics Processors

R. Mohan, N. P. Gopalan

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Tags: Computer science, CUDA, nVidia, Performance, Task scheduling

March 18, 2014 by hgpu

Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing

Seyong Lee, Dong Li, Jeffrey S. Vetter

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Tags: Benchmarking, Computer science, CUDA, nVidia, OpenACC, Performance, Tesla M2090

March 7, 2014 by hgpu

Code Optimization and Scaling of the Astrophysics Software Gadget on Intel Xeon Phi

P. Borovska, D. Ivanova

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Tags: Astrophysics, Intel Xeon Phi, MPI, N-body simulation, Performance

March 6, 2014 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 660 M, nVidia GeForce GTX 680, Performance, Tesla M2050, Tesla M2070, Tesla M2075, Tesla M2090

March 6, 2014 by hgpu

Performance Analysis for GPU-based Ray-triangle Algorithms

Juan J. Jimenez, Carlos J. Ogayar, Jose M. Noguera, Felix Paulano

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Performance, Raytracing

March 6, 2014 by hgpu

Increasing predictability of GPU’s

David Defour

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

March 3, 2014 by hgpu

Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code

Zheng Wang, Daniel Powell, Bjorn Franke, Michael O'Boyle

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

February 27, 2014 by hgpu

A Similarity-Based Analysis Tool for Scientific Application Porting

Wei Ding

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Performance, Portability, Tesla C2070, Thesis

February 17, 2014 by hgpu

LDetector: A Low Overhead Race Detector For GPU Programs

Pengcheng Li, Chen Ding, Xiaoyu Hu, Tolga Soyata

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Tags: Computer science, CUDA, nVidia, Performance, Tesla K20

February 16, 2014 by hgpu

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

microSYCL: SYCL micro-benchmarks repository

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

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high performance computing on graphics processing units: hgpu.org

Acceleration of a Full-scale Industrial CFD Application with OP2

Improving Cache Locality for GPU-based Volume Rendering

Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine

Dynamic Load Balancing using Graphics Processors

Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing

Code Optimization and Scaling of the Astrophysics Software Gadget on Intel Xeon Phi

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

Performance Analysis for GPU-based Ray-triangle Algorithms

Increasing predictability of GPU’s

Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code

A Similarity-Based Analysis Tool for Scientific Application Porting

LDetector: A Low Overhead Race Detector For GPU Programs

Recent source codes

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

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