high performance computing on graphics processing units: hgpu.org

Applications

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Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Jens Krueger, Martin Grund, Ingo Jaeckel, Alexander Zeier, Hasso Plattner

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Tags: Algorithms, Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

November 3, 2011 by hgpu

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Stefan Sommer

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 590, OpenCL

November 3, 2011 by hgpu

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Tomas Zegard Latrach

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization, Tesla T10, Thesis

November 3, 2011 by hgpu

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Tomasz Jurkiewicz, Piotr Danilewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting

November 3, 2011 by hgpu

Colour flux-tubes in static Pentaquark and Tetraquark systems

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

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Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Package, Physics, QCD, Tesla C2070

November 3, 2011 by hgpu

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Computer science, CUDA, Differential evolution, Genetic programming, Metaheuristics, nVidia, Task scheduling, Tesla C2050

November 2, 2011 by hgpu

Multi-view Rendering Approach for Cloud-based Gaming Services

Sung-Soo Kim, Kyoung-Ill Kim, Jongho Won

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Tags: Algorithms, Cloud, Computer science, DirectX, Games, HLSL, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 4000, Rendering

November 2, 2011 by hgpu

A shared file system abstraction for heterogeneous architectures

Mark Silberstein, Idit Keidar

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Tags: Computer science, Heterogeneous systems, Operating systems

November 2, 2011 by hgpu

Analyzing Password Strength and Efficient Password Cracking

Shiva Houshmand Yazdi

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Security, Thesis

November 2, 2011 by hgpu

Development of Virtual Machine Tool for Simulation and Evaluation

Rong Shen Lee, Mei Ko Ren

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Tags: CAD, Collision detection, Computer science, OpenCL, Virtual reality

November 2, 2011 by hgpu

Acceleration Methods for Bayesian Network Sampling

Haohai Yu

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Benchmarking, Clustering, Computer science, OpenCL, Probability, Thesis

November 2, 2011 by hgpu

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Karl-Ingo Friese, Philipp Blanke, Franz-Erich Wolter

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Tags: Computer science, Medicine, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M, OpenGL, Package, Virtual reality, Visualization

November 2, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

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high performance computing on graphics processing units: hgpu.org

Applications

Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Colour flux-tubes in static Pentaquark and Tetraquark systems

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

A shared file system abstraction for heterogeneous architectures

Analyzing Password Strength and Efficient Password Cracking

Development of Virtual Machine Tool for Simulation and Evaluation

Acceleration Methods for Bayesian Network Sampling

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

Most viewed papers (last 30 days)