high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications

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

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

Recovering Historical Climate Records using Artificial Neural Networks in GPU

Juan Pablo Balarini, Sergio Nesmachnow

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Tags: CUDA, Earth and Space Sciences, Image processing, Neural networks, nVidia, nVidia GeForce GTX 480

July 15, 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

GPU-accelerated discontinuous Galerkin methods on hybrid meshes

Jesse Chan, Zheng Wang, Axel Modave, Jean-Francois Remacle, T. Warburton

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 980, OpenCL, OpenMP, Spectral elements, Wave equation

July 13, 2015 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Applications

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

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

Recovering Historical Climate Records using Artificial Neural Networks in GPU

Adaptive parallelism mapping in dynamic environments using machine learning

GPU-accelerated discontinuous Galerkin methods on hybrid meshes

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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