high performance computing on graphics processing units: hgpu.org

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Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Li-Wen Chang

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Thesis

September 15, 2014 by hgpu

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Yue Wang

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, Thesis

September 13, 2014 by hgpu

HTML5 WebSocket protocol and its application to distributed computing

Gabriel L. Muller

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Tags: Computer science, Distributed computing, Heterogeneous systems, OpenCL, Thesis

September 13, 2014 by hgpu

Ray Traced Rendering Using GPGPU Devices

Coby Soss

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Tags: ATI, ATI Mobility Radeon HD 5870, Computer science, OpenCL, Raytracing, Rendering, Thesis

September 11, 2014 by hgpu

Improvements to Physically Based Cloth Simulation

Tsz Ho Wong

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Tags: 3D Graphics and Realism, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 780, Review, Thesis

September 9, 2014 by hgpu

Sparse array representations and some selected array operations on GPUs

Hairong Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Sparse matrix, Thesis

September 8, 2014 by hgpu

A CUDA Back-End for the Equelle Compiler

Havard Heitlo Holm

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Source codes

Tags: Compilers, Computer science, CUDA, Differential equations, Finite volume method, Heterogeneous systems, nVidia, nVidia Quadro NVS 5200 M, Package, Partial differential equations, PDEs, Tesla K40, Thesis

September 8, 2014 by hgpu

Analysis of KECCAK Tree Hashing on GPU Architectures

Jason Michael Lowden

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, Security, Tesla K20, Thesis

September 4, 2014 by hgpu

CUDA method for the FDTD simulation by GPU

Wonhak Son

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Tags: CUDA, FDTD, Finite-difference time-domain, MPI, nVidia, nVidia GeForce GTX Titan, Physics, Thesis

September 4, 2014 by hgpu

New efficient integral algorithms for quantum chemistry

Jaime Axel Rosal Sandberg

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Tags: Algorithms, Chemistry, CUDA, nVidia, Thesis

September 3, 2014 by hgpu

Detection of retransmissions in 10G Ethernet using GPUs

Paula Roquero Fuentes

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Tags: Algorithms, Computer science, CUDA, nVidia, Pthreads, Security, Tesla C2075, Thesis

September 3, 2014 by hgpu

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Performance and Power Optimization of GPU Architectures for General-purpose Computing

HTML5 WebSocket protocol and its application to distributed computing

Ray Traced Rendering Using GPGPU Devices

Improvements to Physically Based Cloth Simulation

Sparse array representations and some selected array operations on GPUs

A CUDA Back-End for the Equelle Compiler

Analysis of KECCAK Tree Hashing on GPU Architectures

CUDA method for the FDTD simulation by GPU

New efficient integral algorithms for quantum chemistry

Detection of retransmissions in 10G Ethernet using GPUs

Recent source codes

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

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

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