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Efficient Intranode Communication in GPU-Accelerated Systems

Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Xiaosong Ma

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Performance, Tesla M2070

May 4, 2012 by hgpu

Heterogeneous Task Scheduling for Accelerated OpenMP

Thomas R. W. Scogland, Barry Rountree, Wu-chun Feng, Bronis R. de Supinski

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Task scheduling, Tesla C2050

May 4, 2012 by hgpu

Generalizing the Utility of GPUs in Large-Scale Heterogeneous Computing Systems

Shucai Xiao, Wu-chun Feng

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Tesla M2070, Virtualization

May 4, 2012 by hgpu

Using high performance computing and Monte Carlo simulation for pricing american options

Verche Cvetanoska, Toni Stojanovski

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Tags: Computational finance, Computer science, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GT 540 M

May 3, 2012 by hgpu

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Jiri Jaros, Petr Pospichal

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Performance

May 2, 2012 by hgpu

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

Jiadong Wu, Weiming Shi, Bo Hong

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Tags: Computer science, CUDA, nVidia, Performance

May 2, 2012 by hgpu

GPU Acceleration for the C++ Standard Template Library

Christian DeLozier

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 570, OpenCL, Package, Programming techniques, Software Engineering

May 2, 2012 by hgpu

Automatic NUMA Characterization using Cbench

Ryan Braithwaite, Wu-chun Feng, Patrick McCormick

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Package, Task scheduling, Tesla C2050

May 2, 2012 by hgpu

OpenCL and the 13 Dwarfs: A Work in Progress

W. Feng, H. Lin, T. Scogland, J. Zhang

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Tags: ATI, ATI Radeon HD 5450, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, OpenCL, Tesla C2050

May 1, 2012 by hgpu

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Lev Alexandrovich Neiman

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2075

April 28, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 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

Efficient Intranode Communication in GPU-Accelerated Systems

Heterogeneous Task Scheduling for Accelerated OpenMP

Generalizing the Utility of GPUs in Large-Scale Heterogeneous Computing Systems

Using high performance computing and Monte Carlo simulation for pricing american options

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

GPU Acceleration for the C++ Standard Template Library

Automatic NUMA Characterization using Cbench

OpenCL and the 13 Dwarfs: A Work in Progress

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

High-Performance Code Generation for Stencil Computations on GPU Architectures

Characterizing and Improving the Use of Demand-Fetched Caches in 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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