high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Xiangang Li, Xihong Wu

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Tags: Computer science, Evolutionary Computations, Neural and Evolutionary Computing, Neural networks, Speech recognition

October 18, 2014 by hgpu

The Distribution of OpenCL Kernel Execution Across Multiple Devices

Steven Gurfinkel

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Tags: Computer science, nVidia, OpenCL, Tesla M2090, Thesis

October 16, 2014 by hgpu

OpenCL Implementation of Montgomery Multiplication on FPGA

Mehmet Ufuk Buyuksahin

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Tags: Algorithms, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 435 M, nVidia GeForce GT 630, nVidia GeForce GTX 780, OpenCL, Security, Thesis

October 16, 2014 by hgpu

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

Karl Rupp, Josef Weinbub, Ansgar Jungel, Tibor Grasser

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Tags: AMD FirePro W9000, AMD FirePro W9100, ATI, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, nVidia, OpenCL, Tesla C2050, Tesla K20

October 16, 2014 by hgpu

A Case Study of OpenCL on an Android Mobile GPU

James A. Ross, David A. Richie, Song J. Park, Dale R. Shires, Lori L. Pollock

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Tags: ARM, ATI, ATI Radeon HD 6970, Computer science, N-body simulation, OpenCL

October 14, 2014 by hgpu

A Complete and Efficient CUDA-Sharing Solution for HPC Clusters

Antonio J. Pena, Carlos Reano, Federico Silla, Rafael Mayo, Enrique S. Quintana-Orti, Jose Duato

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla K20, Virtualization

October 14, 2014 by hgpu

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Koji Nakano, Susumu Matsumae, Yasuaki Ito

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX Titan

October 14, 2014 by hgpu

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 780 Ti, SAT

October 14, 2014 by hgpu

Scalable approximate k-NN in multidimensional big data

Hisham Mohamed

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Tags: Algorithms, Computer science, CUDA, Data mining, Data Structures and Algorithms, Information Retrieval, Machine learning, MapReduce, MPI, Nearest neighbour, nVidia, nVidia Quadro NVS 5200 M, Thesis, Visualization

October 13, 2014 by hgpu

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

Shohei Ando, Fumihiko Ino, Toru Fujiwara, and Kenichi Hagihara

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Probability, Tesla K40

October 13, 2014 by hgpu

GAIN: GPU-based Constraint Checking for Context Consistency

Jun Sui, Chang Xu, Wang Xi, Yanyan Jiang, Chun Cao, Xiaoxin Ma, Jian Lu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640

October 13, 2014 by hgpu

Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Astrophysics, Computer science, nVidia, OpenCL, Tesla C2075

October 13, 2014 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

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

The Distribution of OpenCL Kernel Execution Across Multiple Devices

OpenCL Implementation of Montgomery Multiplication on FPGA

Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units

A Case Study of OpenCL on an Android Mobile GPU

A Complete and Efficient CUDA-Sharing Solution for HPC Clusters

Random Address Permute-Shift Technique for the Shared Memory on GPUs

Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations

Scalable approximate k-NN in multidimensional big data

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

GAIN: GPU-based Constraint Checking for Context Consistency

Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches

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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