high performance computing on graphics processing units: hgpu.org

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Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Rainer Erbes

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5000, Thesis

June 8, 2013 by hgpu

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Mohsin Altaf Wani, S.M.K Quadri

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Programming techniques

June 8, 2013 by hgpu

Modernizing the core quantum chemistry algorithms

Andrey Asadchev

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, nVidia, Programming techniques, Tesla C2050, Thesis

June 8, 2013 by hgpu

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben Juurlink

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Source codes

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 580, Package

June 7, 2013 by hgpu

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Alwyn V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization

June 7, 2013 by hgpu

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Lubomir Klimes, Josef Stetina

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Tags: Computer science, CUDA, Materials Science, nVidia, Solidification, Tesla C2075

June 7, 2013 by hgpu

Scientific Computing on Hybrid Architectures

Marcus Holm

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla M2050, Thesis

June 7, 2013 by hgpu

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

Kgotlaetsile Mathews Modieginyane, Zenzo Polite Ncube, Naison Gasela

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Tags: Algorithms, Compression, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 480

June 7, 2013 by hgpu

Parallel Implementation of Finite Element Codes using CUDA

Shi-Lun Huang

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Tags: Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560

June 6, 2013 by hgpu

Development of an explicit pressure-based unstructured solver for three-dimensional incompressible flows with graphics hardware acceleration

Jordan Thistle

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Tags: Algorithms, CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 570, Thesis

June 6, 2013 by hgpu

A MapReduce Framework for Heterogeneous Computing Architectures

Marwa Khamis Elteir

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Tesla C2050, Tesla M2050, Thesis

June 6, 2013 by hgpu

A Reliable Throughput Gain on GPUs

Paolo Rech, Luigi Carro

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

June 6, 2013 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Modernizing the core quantum chemistry algorithms

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Scientific Computing on Hybrid Architectures

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

Parallel Implementation of Finite Element Codes using CUDA

Development of an explicit pressure-based unstructured solver for three-dimensional incompressible flows with graphics hardware acceleration

A MapReduce Framework for Heterogeneous Computing Architectures

A Reliable Throughput Gain on GPUs

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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