high performance computing on graphics processing units: hgpu.org

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BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing

Linnan Wang, Wei Wu, Jianxiong Xiao, Yi Yang

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Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX Titan X, Package, Performance, Tesla K40

October 22, 2015 by hgpu

Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain

Lev E. Givon, Aurel A. Lazar

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Tags: Biology, Computer science, CUDA, nVidia, OpenMPI, Tesla K20

October 22, 2015 by hgpu

A Network Intrusion Detection System Framework based on Hadoop and GPGPU

Sanraj Bandre, Jyoti Nandimath

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Tags: Computer science, CUDA, Hadoop, nVidia, Security, Tesla K20

October 18, 2015 by hgpu

MetaFork: A Compilation Framework for Concurrency Models Targeting Hardware Accelerators and Its Application to the Generation of Parametric CUDA Kernels

Changbo Chen, Xiaohui Chen, Abdoul-Kader Keita, Marc Moreno Maza, Ning Xie

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Tags: Code generation, Computer science, CUDA, nVidia, Package

October 18, 2015 by hgpu

Sapporo2: A versatile direct N-body library

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Tags: Astrophysics, ATI, ATI Radeon HD 7970, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, N-body simulation, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Tesla K20

October 16, 2015 by hgpu

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

Julien Duchateau, Francois Rousselle, Nicolas Maquignon, Gilles Roussel, Christophe Renaud

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050

October 16, 2015 by hgpu

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Linchuan Chen

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, MPI, nVidia, Sparse matrix, Task scheduling, Tesla M2070, Thesis

October 13, 2015 by hgpu

Adaptive Simulation of Large-Scale Ocean Surface

Filip Krijt

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Tags: CUDA, DirectX, Fluid dynamics, HLSL, nVidia GeForce GTX 760, Tessellation, Thesis

October 13, 2015 by hgpu

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Chun-Liang Lee, Yi-Shan Lin, Yaw-Chung Chen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 680, Security

October 13, 2015 by hgpu

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Daniel Berjon, Guillermo Gallego, Carlos Cuevas, Francisco Moran, Narciso Garcia

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Tags: Computer science, Computer vision, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 580

October 13, 2015 by hgpu

Meta-programming and Multi-stage Programming for GPGPUs

Marc Baboulin, Joel Falcou, Ian Masliah

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Tags: Computer science, CUDA, nVidia, Tesla K40

October 11, 2015 by hgpu

GPU Accelarated Multi-Block Lattice Boltzmann Solver for Viscous Flow Problems

Gregorio Gerardo Spinelli, Bayram Celik

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia

October 11, 2015 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

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing

Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain

A Network Intrusion Detection System Framework based on Hadoop and GPGPU

MetaFork: A Compilation Framework for Concurrency Models Targeting Hardware Accelerators and Its Application to the Generation of Parametric CUDA Kernels

Sapporo2: A versatile direct N-body library

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Adaptive Simulation of Large-Scale Ocean Surface

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Meta-programming and Multi-stage Programming for GPGPUs

GPU Accelarated Multi-Block Lattice Boltzmann Solver for Viscous Flow Problems

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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