high performance computing on graphics processing units: hgpu.org

David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali, Gene Cooperman, Andrea Dotti, Peter Elmer, Giulio Eulisse, Francesco Giacomini, Christopher D. Jones, Matteo Manzali, Shahzad Muzaffar

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Tags: ARM, Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Performance, Physics

November 11, 2013 by hgpu

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Fan Li, Minglu Jin

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Pseudo-random number generators, Tesla C2070

November 11, 2013 by hgpu

First Steps Towards More Numerical Reproducibility

Fabienne Jezequel, Philippe Langlois, Nathalie Revol

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, Numerical simulation, nVidia, OpenCL, Tesla K20

November 11, 2013 by hgpu

Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

M. Walczak, M. Lewandowski, N. Zolek

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Tags: FPGA, Image processing, Image reconstruction, nVidia, nVidia Quadro K5000, OpenCL, Ultrasound

November 10, 2013 by hgpu

Toward Better Computation Models for Modern Machines

Tomasz Jurkiewicz

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 285, Thesis

November 10, 2013 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

High speed cipher cracking: the case of Keeloq on CUDA

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Performance Evaluation of R with Intel Xeon Phi Coprocessor

GPU-Based Sparse Voxel Octree Raytracing for Rendering of Procedurally Generated Terrain

Accelerating calculations of RNA secondary structure partition functions using GPUs

Preliminary Experiments with XKaapi on Intel Xeon Phi Coprocessor

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

A High Performance Random Number Generator Using Heterogeneous Computing Platform

First Steps Towards More Numerical Reproducibility

Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

Toward Better Computation Models for Modern Machines

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Most viewed papers (last 30 days)