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Parallel Programming in Actor-Based Applications via OpenCL

Paul Harvey, Kristian Hentschel, Joseph Sventek

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Tags: AMD Radeon R9 290X, ATI, Computer science, OpenACC, OpenCL, Package, Performance

July 20, 2015 by hgpu

Improving performance portability for GPU-specific OpenCL kernels on multi-core/many-core CPUs by analysis-based transformations

Mei Wen, Da-fei Huang, Chang-qing Xun, Dong Chen

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, OpenCL, Performance

July 20, 2015 by hgpu

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Mark James Abraham, Teemu Murtola, Roland Schulz, Szilard Pall, Jeremy C. Smith, Berk Hess, Erik Lindahl

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Tags: Algorithms, Biomolecules, Chemistry, CUDA, Heterogeneous systems, Molecular simulation, nVidia, nVidia GeForce GTX 980, OpenCL, Package, Tesla K40

July 20, 2015 by hgpu

GPU-based visualization of domain-coloured algebraic Riemann surfaces

Stefan Kranich

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Tags: Computer science, Graphics, OpenGL, Visualization, WebGL

July 17, 2015 by hgpu

Scaling Monte Carlo Tree Search on Intel Xeon Phi

S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik, Jos Vermaseren

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Tags: Algorithms, Artificial intelligence, Computer science, Intel Xeon Phi, Package

July 17, 2015 by hgpu

Many-Core Architectures: Hardware-Software Optimization and Modeling Techniques

Christian Pinto

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

July 17, 2015 by hgpu

DeepFont: Identify Your Font from An Image

Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

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Tags: CNN, Computer science, CUDA, Deep learning, Neural networks, nVidia

July 17, 2015 by hgpu

Overhauling SC atomics in C11 and OpenCL

John Wickerson

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Tags: Computer science, Heterogeneous systems, Memory model, OpenCL

July 17, 2015 by hgpu

Adaptive parallelism mapping in dynamic environments using machine learning

Murali Krishna Emani

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Tags: Computer science, Machine learning, OpenMP, Performance, Thesis

July 15, 2015 by hgpu

Performance analysis of GPGPU and CPU On AES Encryption

Akash Kiran Neelap

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro K4000, Pthreads, Security, Thesis

July 15, 2015 by hgpu

Automatic Optimization of Thread Mapping for a GPGPU Programming Framework

Kazuhiko Ohno, Tomoharu Kamiya, Takanori Maruyama, Masaki Matsumoto

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Tags: Benchmarking, Compilers, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 980

July 15, 2015 by hgpu

Concurrent Manipulation of Dynamic Data Structures in OpenCL

Henk Mulder

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Tags: Algorithms, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GT 310 M, OpenCL, Package

July 15, 2015 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Programming in Actor-Based Applications via OpenCL

Improving performance portability for GPU-specific OpenCL kernels on multi-core/many-core CPUs by analysis-based transformations

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

GPU-based visualization of domain-coloured algebraic Riemann surfaces

Scaling Monte Carlo Tree Search on Intel Xeon Phi

Many-Core Architectures: Hardware-Software Optimization and Modeling Techniques

DeepFont: Identify Your Font from An Image

Overhauling SC atomics in C11 and OpenCL

Adaptive parallelism mapping in dynamic environments using machine learning

Performance analysis of GPGPU and CPU On AES Encryption

Automatic Optimization of Thread Mapping for a GPGPU Programming Framework

Concurrent Manipulation of Dynamic Data Structures in OpenCL

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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