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Impact of Warp Formation on GPU Performance

Hong Jun Choi, Dong Oh Son, Cheol Hong Kim

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Tags: Computer science, GPGPU-sim, nVidia, Performance

May 3, 2013 by hgpu

Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method

A. V. Choudhari, N. A. Pande, M. R. Gupta

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Tags: Computational Physics, Computer science, CUDA, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce GT 520

May 3, 2013 by hgpu

Efficient implementation for QUAD stream cipher with GPUs

Tanaka Satoshi, Nishide Takashi, Sakurai Kouichi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Security, Stream Ciphers

May 2, 2013 by hgpu

A framework for data-access strategies in GPGPU programs

L.F.C.C. Mallens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTS 250, OpenACC, Thesis

May 2, 2013 by hgpu

Adding GPU Computing to Computer Organization Courses

David Bunde, Karen L. Karavanic, Jens Mache

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Tags: Computer science, CUDA, Education, nVidia

May 2, 2013 by hgpu

OpenMP performance analysis for many-core platforms with non-uniform memory access

Pablo Gonzalez de Aledo Marugan, Javier Gonzalez Bayon, Pablo Sanchez Espeso, Juan Casal Martin

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 2, 2013 by hgpu

Parallel For Loops on Heterogeneous Resources

Frederick Edward Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Thesis

May 1, 2013 by hgpu

ACL2 Meets the GPU: Formalizing a CUDA-based Parallelizable All-Pairs Shortest Path Algorithm in ACL2

David S. Hardin, Samuel S. Hardin

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Tags: Computer science, CUDA, Data Structures and Algorithms, Logic in Computer Science, nVidia, nVidia GeForce GT 650 M

May 1, 2013 by hgpu

Graphics Programming on the Web WebCL Course Notes

Mikael Bourges-Sevenier

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Tags: Computer science, OpenCL, Review, Tutorial

May 1, 2013 by hgpu

Automatic Compilation for Heterogeneous Architectures with Single Assignment C

Miguel Sousa Diogo

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

April 30, 2013 by hgpu

Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

Matthew Badin, Paolo D'Alberto, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

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Tags: Algorithms, BLAS, Computer science, CUDA, Matrix multiplication, nVidia, Performance, Tesla C2070

April 30, 2013 by hgpu

MPI Derived Datatypes Processing on Noncontiguous GPU-resident Data

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, Tesla C2050

April 30, 2013 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

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high performance computing on graphics processing units: hgpu.org

Impact of Warp Formation on GPU Performance

Feasibility Analysis of Low Cost Graphical Processing Units for Electromagnetic Field Simulations by Finite Difference Time Domain Method

Efficient implementation for QUAD stream cipher with GPUs

A framework for data-access strategies in GPGPU programs

Adding GPU Computing to Computer Organization Courses

OpenMP performance analysis for many-core platforms with non-uniform memory access

Parallel For Loops on Heterogeneous Resources

ACL2 Meets the GPU: Formalizing a CUDA-based Parallelizable All-Pairs Shortest Path Algorithm in ACL2

Graphics Programming on the Web WebCL Course Notes

Automatic Compilation for Heterogeneous Architectures with Single Assignment C

Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

MPI Derived Datatypes Processing on Noncontiguous GPU-resident Data

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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