high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580

July 17, 2013 by hgpu

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Vu Dinh Trung, Tran Van Lang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 250, Task scheduling

July 17, 2013 by hgpu

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Design space exploration, nVidia, OpenCL, Tesla C2070

July 17, 2013 by hgpu

Early Experiences With The OpenMP Accelerator Model

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara Chapman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Package, Tesla K20

July 17, 2013 by hgpu

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Imen Chakroun

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 17, 2013 by hgpu

Data Structures and Algorithms for Counting Problems on Graphs using GPU

Amlan Chatterjee, Sridhar Radhakrishnan, John K. Antonio

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C1060, Tesla C2050, Tesla C2070

July 16, 2013 by hgpu

A New GPU-based Approach to the Shortest Path Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Path problems

July 16, 2013 by hgpu

Object support for OpenMP-style programming of GPU clusters in Java

Carolin Wolf, Georg Dotzler, Ronald Veldema, Michael Philippsen

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Tags: Computer science, CUDA, GPU cluster, Java, nVidia, PC cluster, Tesla M1060

July 16, 2013 by hgpu

A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

Sebastian Bress, Ingolf Geist, Eike Schallehn, Maik Mory, Gunter Saake

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

July 15, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

Parallelization of SAT Algorithms on GPUs

Carlos Costa

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Tags: Algorithms, Computer science, CUDA, nVidia, SAT

July 15, 2013 by hgpu

Exploiting Space and Time Coherence in Grid-based Sorting

Rubens Carlos Silva Oliveira, Claudio Esperanca, Antonio Oliveira

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, nVidia, nVidia GeForce GT 540 M, OpenCL, Particle simulation, Sorting

July 15, 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

A Software-Based Self Test of CUDA Fermi GPUs

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Early Experiences With The OpenMP Accelerator Model

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Data Structures and Algorithms for Counting Problems on Graphs using GPU

A New GPU-based Approach to the Shortest Path Problem

Object support for OpenMP-style programming of GPU clusters in Java

A framework for cost based optimization of hybrid CPU/GPU query plans in database systems

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Parallelization of SAT Algorithms on GPUs

Exploiting Space and Time Coherence in Grid-based Sorting

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)