high performance computing on graphics processing units: hgpu.org

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GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Joel Ek

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Tags: Computer science, Filtering, OpenCL, Rasterization, Rendering, Thesis

December 5, 2012 by hgpu

Mapping Streaming Applications to OpenCL

Abhishek Ray

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Tags: ATI, ATI Radeon HD 6970, Computer science, nVidia, OpenCL, Programming techniques, Tesla C2050

December 5, 2012 by hgpu

Usage of GPU in LS-DYNA

Uli Goehner

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Tags: CAD, Computer science, CUDA, nVidia, Tesla M2050

December 5, 2012 by hgpu

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

gR: A GPU-based Router

Priya Sundaresan, Sripriya Venkateshprasad, Yamini Muralitharan, Ranjani Parthasarathi

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GT 220, Security

December 4, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Juan Jose Fumero

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems, MPI, OpenACC, OpenCL

December 4, 2012 by hgpu

Hybrid Sample-based Surface Rendering

F. Reichl, M.G. Chajdas, K. Burger, R. Westermann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rasterization, Rendering

December 3, 2012 by hgpu

Parallelism in Database Operations

Kalle Karkkainen

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Tags: Computer science, CUDA, Databases, nVidia, Review

December 2, 2012 by hgpu

Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor

Jiri Dokulil, Enes Bajrovic, Siegfried Benkner, Sabri Pllana, Martin Sandrieser, Beverly Bachmayer

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Tags: Computer science, Intel, Intel Phi, Software Engineering

December 2, 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

GPU accelerating the FEniCS Project

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Mapping Streaming Applications to OpenCL

Usage of GPU in LS-DYNA

Fast Parallel Sorting Algorithms on GPUs

gR: A GPU-based Router

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Hybrid Sample-based Surface Rendering

Parallelism in Database Operations

Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor

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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