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Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL

April 18, 2012 by hgpu

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

William Spencer Crosswy

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, Numerical Analysis, OpenCL, Thesis

April 18, 2012 by hgpu

OpenCL vs. OpenMP: A Programmability Debate

Jie Shen, Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Benchmarking, Computer science, OpenCL, OpenMP

April 18, 2012 by hgpu

High-Performance Matrix-Vector Multiplication on the GPU

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Implementation of Massive Artificial Neural Networks with CUDA

Domen Verber

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 595, Tesla C1060

April 17, 2012 by hgpu

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Per Ganestam, Michael Doggett

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Raytracing, Rendering

April 17, 2012 by hgpu

High Performance Stencil Code Algorithms for GPGPUs

Andreas Schäfer and Dietmar Fey

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, Tesla C2050

April 17, 2012 by gentryx

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

April 16, 2012 by hgpu

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Chittampally Vasanth Raja, Srinivas Balasubramanian, Prakash S. Raghavendra

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Tags: Computer science, Heterogeneous systems, Mathematical Software, Numerical Analysis, nVidia, OpenCL, Tesla C2050

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 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

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

OpenCL vs. OpenMP: A Programmability Debate

High-Performance Matrix-Vector Multiplication on the GPU

Implementation of Massive Artificial Neural Networks with CUDA

Auto-tuning interactive ray tracing using an analytical GPU architecture model

High Performance Stencil Code Algorithms for GPGPUs

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Efficient Hash Tables on the GPU

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

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