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A massively parallel algorithm for constructing the BWT of large string sets

Jacopo Pantaleoni

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, Tesla K40

October 4, 2014 by hgpu

Fast Automatic Heuristic Construction Using Active Learning

William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX Titan

October 3, 2014 by hgpu

Microarchitectural Performance Characterization of Irregular GPU Kernels

Molly A. O'Neil, Martin Burtscher

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

October 3, 2014 by hgpu

A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA

Andrea Arteaga, Daniel Ruprecht, Rolf Krause

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Tags: Computer science, CUDA, Differential equations, MPI, nVidia, Partial differential equations, PDEs, Tesla K20

October 3, 2014 by hgpu

Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Lukas Machlica, Jan Vanek, Zbynek Zajıc

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Source codes

Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 280, Package, Statistics and Probability

October 2, 2014 by Vanekyj

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You

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

September 30, 2014 by hgpu

Harnessing GPU Computing in System-Level Software

Weibin Sun

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system, Thesis

September 30, 2014 by hgpu

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Saad Quader

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla M2050

September 30, 2014 by hgpu

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

Sreeram Potluri

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla, Tesla C2075, Tesla K20, Tesla M2090

September 29, 2014 by hgpu

XBOOLE-CUDA: Fast Boolean Operations on the GPU

Bernd Steinbach, Matthias Werner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690, Tesla C2070

September 29, 2014 by hgpu

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

Romain Dolbeau

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GT 620, Package, Security

September 28, 2014 by hgpu

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 580, OpenCL, Task scheduling

September 28, 2014 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

A massively parallel algorithm for constructing the BWT of large string sets

Fast Automatic Heuristic Construction Using Active Learning

Microarchitectural Performance Characterization of Irregular GPU Kernels

A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA

Fast Estimation of Gaussian Mixture Model Parameters on GPU using CUDA

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Harnessing GPU Computing in System-Level Software

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

XBOOLE-CUDA: Fast Boolean Operations on the GPU

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

A Study of the Potential of Locality-Aware Thread Scheduling for GPUs

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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