high performance computing on graphics processing units: hgpu.org

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Implementing Computer Vision Functions with OpenCL on the Qualcomm Adreno 420

Staff of Berkeley Design Technology

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Tags: Algorithms, ARM, Computer science, Computer vision, OpenCL

August 21, 2015 by hgpu

A CPU and GPU Heterogeneous Processing of Multimedia Data by using OpenCL

Heegon Kim, Sungju Lee, Yongwha Chung, Daihee Park

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL

August 21, 2015 by hgpu

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

Ursula Iturraran-Viveros, Miguel Molero-Armenta

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Tags: Condensed matter, Instrumentation and measurement, nVidia, OpenCL, Package, Physics, PyOpenCL, Python

August 21, 2015 by hgpu

OpenCL-Based Design of an FPGA Accelerator for Phase-Based Correspondence Matching

Shunsuke Tatsumi, Masanori Hariyama, Mamoru Miura, Koichi Ito, Takafumi Aoki

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Tags: Computer science, FPGA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Stereo vision

August 18, 2015 by hgpu

Parallelizing a high-order WENO scheme for complicated flow structures on GPU and MIC

Liang Deng, Fang Wang, Han-Li Bai, Qing-Xin Xu

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Tags: CUDA, Fluid dynamics, Intel Xeon Phi, nVidia, Tesla K20, Tesla M2050

August 18, 2015 by hgpu

Runtime Code Generation and Data Management for Heterogeneous Computing in Java

Juan Jose Fumero, Toomas Remmelg, Michel Steuwer, Christophe Dubach

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Tags: AMD Radeon R9 295X2, ATI, Code generation, Computer science, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX Titan, OpenCL

August 18, 2015 by hgpu

RubiCL, a Library Providing Automatic Parallelisation on CPU and GPU devices

Aaron Cronin

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Tags: Computer science, nVidia, nVidia GeForce GTX 670, OpenCL, Ruby

August 18, 2015 by hgpu

Optimizing OpenCL Local Work Group Size With Machine Learning

Markus Schlafli

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Tags: ATI, ATI Radeon HD 7850, Computer science, Machine learning, OpenCL, Performance, PTX

August 18, 2015 by hgpu

A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels

Saeed Taheri, Apan Qasem, Martin Burtscher

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Performance, Tesla K20

August 14, 2015 by hgpu

Bufferless NOC Simulation of Large Multicore System on GPU Hardware

Navin Kumar, Aryabartta Sahu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 690

August 14, 2015 by hgpu

Automatic classification of object code using machine learning

John Clemens

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Tags: Computer science, CUDA, Machine learning, nVidia, Security

August 14, 2015 by hgpu

Processing Markov Logic Networks with GPUs

Carlos Alberto Martinez-Angeles, Ines Dutra, Vitor Santos Costa, Jorge Buenabad-Chavez

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Tags: Computer science, CUDA, Databases, Machine learning, nVidia, Tesla K40

August 14, 2015 by hgpu

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Implementing Computer Vision Functions with OpenCL on the Qualcomm Adreno 420

A CPU and GPU Heterogeneous Processing of Multimedia Data by using OpenCL

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

OpenCL-Based Design of an FPGA Accelerator for Phase-Based Correspondence Matching

Parallelizing a high-order WENO scheme for complicated flow structures on GPU and MIC

Runtime Code Generation and Data Management for Heterogeneous Computing in Java

RubiCL, a Library Providing Automatic Parallelisation on CPU and GPU devices

Optimizing OpenCL Local Work Group Size With Machine Learning

A Tool for Automatically Suggesting Source-Code Optimizations for Complex GPU Kernels

Bufferless NOC Simulation of Large Multicore System on GPU Hardware

Automatic classification of object code using machine learning

Processing Markov Logic Networks with GPUs

Recent source codes

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

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