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Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

V.N. Pistulkar, C.A. Uttarwar

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Tags: Computer science, CUDA, GPU cluster, nVidia, PTX, Tesla C1060

July 5, 2012 by hgpu

Parallel Processing using FPGAs and GPUs

Abhijit Joshi

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, Tesla C2070, Thesis

July 3, 2012 by hgpu

Using OpenCL: Programming Massively Parallel Computers

Janusz Kowalik, Tadeusz Puzniakowski

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Tags: Book, Computer science, OpenCL, Tutorial

July 3, 2012 by hgpu

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Storage system, Tesla C2070

July 3, 2012 by hgpu

kANN on the GPU with Shifted Sorting

Shengren Li, Lance Simons, Jagadeesh Bhaskar Pakaravoor, Fatemeh Abbasinejad, John D. Owens, Nina Amenta

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, Neural networks, nVidia, nVidia GeForce GTX 480, Sorting

July 2, 2012 by hgpu

Acceleration of bilateral filtering algorithm for manycore and multicore architectures

Dinesh Agarwal, Sami Wilf, Abinashi Dhungel, Sushil K. Prasad

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Source codes

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 280, Optimization, Package

July 2, 2012 by hgpu

Deformation of skeleton based implicit objects

Sondre Langeland Hisdal

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

July 2, 2012 by hgpu

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

K.A. Hawick, D.P. Playne

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Tags: Computer science, CUDA, Data parallelism, Numerical simulation, nVidia, nVidia GeForce GTX 580, Phase transition

July 2, 2012 by hgpu

Parallelization Strategies of the Canny Edge Detector for Multi-core CPUs and Many-core GPUs

Taieb Lamine Ben Cheikh, Giovanni Beltrame, Gabriela Nicolescu, Farida Cheriet, Sofiene Tahar

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

July 2, 2012 by hgpu

Fault Tree Analysis Speed-up with GPU Parallel Computing

Hadi Aghassi, Farrokh Aghassi

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, Monte Carlo simulation, nVidia, nVidia GeForce 8600 GS

July 1, 2012 by hgpu

A Scheduling Framework for a Heterogeneous Parallel Architecture

Wei Zhang

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C1060, Thesis

June 30, 2012 by hgpu

Point Based Color Bleeding with CUDA and Caching

Nick Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Rasterization

June 30, 2012 by hgpu

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

BoltzGen:Toward Universal Binder Design

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

Parallel Processing using FPGAs and GPUs

Using OpenCL: Programming Massively Parallel Computers

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

kANN on the GPU with Shifted Sorting

Acceleration of bilateral filtering algorithm for manycore and multicore architectures

Deformation of skeleton based implicit objects

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

Parallelization Strategies of the Canny Edge Detector for Multi-core CPUs and Many-core GPUs

Fault Tree Analysis Speed-up with GPU Parallel Computing

A Scheduling Framework for a Heterogeneous Parallel Architecture

Point Based Color Bleeding with CUDA and Caching

Recent source codes

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

BoltzGen:Toward Universal Binder Design

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

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

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