high performance computing on graphics processing units: hgpu.org

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Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 680

October 12, 2013 by hgpu

Dandelion: a Compiler and Runtime for Heterogeneous Systems

Christopher J. Rossbach, Yuan Yu, Jon Currey, Jean-Philippe Martin, Dennis Fetterly

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K20

October 12, 2013 by hgpu

A Parallel Intermediate Representation for Embedded Languages

Ivar Lang

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Tags: Computer science, Data parallelism, nVidia, OpenCL, Package, Tesla M2050, Thesis

October 10, 2013 by hgpu

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

Daniel N. Benedetti, W. Randolph Franklin, Wenli Li

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Tags: Algorithms, Compression, CUDA, Differential equations, Image processing, nVidia, Partial differential equations, PDEs, Thrust

October 10, 2013 by hgpu

GALAMOST: GPU-accelerated large-scale molecular simulation toolkit

You-Liang Zhu, Hong Liu, Zhan-Wei Li, Hu-Jun Qian, Giuseppe Milano, Zhong-Yuan Lu

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Tags: Chemical Physics, Computational Physics, CUDA, Molecular simulation, nVidia, nVidia GeForce GTX 580, Phase transition, Physics, Soft Condensed Matter, Tesla K20

October 10, 2013 by hgpu

Direct deconvolution of radio synthesis images using L1 minimisation

Stephen J. Hardy

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Tags: Astrophysics, CUDA, Image reconstruction, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2050

October 10, 2013 by hgpu

Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures

Blesson Varghese, Andrew Rau-Chaplin

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Tags: Computational Engineering, Computer science, CUDA, Finance, nVidia, Risk Management, Tesla C2075

October 10, 2013 by hgpu

Scalable Fast Multipole Methods on Heterogeneous Architecture

Q. Hu

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Tesla C1060, Tesla C2050, Thesis

October 9, 2013 by hgpu

The GASPI API specification and its implementation GPI 2.0

D. Grünewald, C. Simmendinger

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Tags: Computer science, Intel Xeon Phi, MPI, Package, Programming Languages

October 9, 2013 by hgpu

UPC on MIC: Early Experiences with Native and Symmetric Modes

M.Luo ,M. Li, A. Venkatesh, X. Lu, D. K. Panda

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Tags: Computer science, Intel Phi, Intel Xeon Phi, Programming Languages

October 9, 2013 by hgpu

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

M. Emmett, W. Zhang, J. B. Bell

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Tags: Fluid dynamics, Intel Xeon Phi, Mathematics, MPI, Navier-Stokes equations, NSEs, Numerical Analysis, Numerical simulation, OpenMP

October 9, 2013 by hgpu

Enabling the use of Heterogeneous Computing for Bioinformatics

Ramakrishna Bijanapalli Chakri

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Smith-Waterman algorithm, Thesis

October 8, 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

Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Dandelion: a Compiler and Runtime for Heterogeneous Systems

A Parallel Intermediate Representation for Embedded Languages

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

GALAMOST: GPU-accelerated large-scale molecular simulation toolkit

Direct deconvolution of radio synthesis images using L1 minimisation

Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures

Scalable Fast Multipole Methods on Heterogeneous Architecture

The GASPI API specification and its implementation GPI 2.0

UPC on MIC: Early Experiences with Native and Symmetric Modes

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

Enabling the use of Heterogeneous Computing for Bioinformatics

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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