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CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

W. Randolph Franklin, You Li, Tsz-Yam Lau, Peter Fox

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Tags: Algorithms, Compression, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs

August 8, 2012 by hgpu

Policy-based Tuning for Performance Portability and Library Co-optimization

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Performance

August 8, 2012 by hgpu

Large Scale Finite Element Analysis Using GPU Parallel Computing

Ashkan Akbariyeh

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia Quadro FX 5000, Sparse matrix, Thesis

August 8, 2012 by hgpu

Using GPU-based Computing To Accelerate Finite Element Problems

Jacob Watt

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Tags: Computer science, CUDA, Finite element method, Linear Algebra, nVidia, nVidia Quadro FX 5000, Thesis, Visualization

August 8, 2012 by hgpu

Efficient Algorithms for Sorting on GPUs

Seema M. Munavalli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Sorting, Thesis

August 7, 2012 by hgpu

Efficient Monte Carlo sampler for detecting parametric objects in large scenes

Yannick Verdie, Florent Lafarge

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 4800

August 7, 2012 by hgpu

Accelerating Cryptographic Primitives with GPUs

Patrick Carpenter

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Tags: Computer science, CUDA, Hashing, nVidia, Review, Security

August 6, 2012 by hgpu

Coordinated system level resource management for heterogeneous many-core platforms

Vishakha Gupta

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GTX, Thesis

August 6, 2012 by hgpu

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

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Tags: Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Performance

August 6, 2012 by hgpu

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Stephan Wenger, Marco Ament, Stefan Guthe, Dirk Lorenz, Andreas Tillmann, Daniel Weiskopf, Marcus Magnor

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Rendering, Sensing, Tomography, Visualization

August 6, 2012 by hgpu

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Anton J. Wijs, Dragan Bosnacki

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probabilistic model checking, Sparse matrix

August 6, 2012 by hgpu

On Parallel Software Verification using Boolean Equation Systems

Alexander Ditter, Milan Ceska, Gerald Luttgen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

August 6, 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

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high performance computing on graphics processing units: hgpu.org

CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

Policy-based Tuning for Performance Portability and Library Co-optimization

Large Scale Finite Element Analysis Using GPU Parallel Computing

Using GPU-based Computing To Accelerate Finite Element Problems

Efficient Algorithms for Sorting on GPUs

Efficient Monte Carlo sampler for detecting parametric objects in large scenes

Accelerating Cryptographic Primitives with GPUs

Coordinated system level resource management for heterogeneous many-core platforms

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

On Parallel Software Verification using Boolean Equation Systems

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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