high performance computing on graphics processing units: hgpu.org

Eduardo Cesar, Robert Mijacovic, Carmen Navarrete, Carla Guillien, Siegfried Benkner, Martin Sandrieser, Enes Bajrovic, Laurent Morin, Gertvjola Saveta, Anna Sikora

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Tags: Computer science, MPI, OpenCL, Performance

September 19, 2015 by hgpu

Parallel Decompression of Seismic Data on GPU Using a Lifting Wavelet Algorithm

Jairo A. Castelar, Carlos A. Angulo, Carlos A. Fajardo

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Tags: Algorithms, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 660, Wavelet

September 19, 2015 by hgpu

Autotuning Wavefront Patterns for Heterogeneous Architectures

Siddharth Mohanty

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Performance, Thesis

September 19, 2015 by hgpu

An OpenCL design of the Bob Jenkins lookup3 hash function using the Xilinx SDAccel Development Environment

Christian Lalanne, Servesh Muralidharan, Michael Lysaght

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Tags: Algorithms, Computer science, Databases, FPGA, Hashing, OpenCL

September 19, 2015 by hgpu

Efficient Kernel Fusion Techniques for Massive Video Data Analysis on GPGPUs

Asif M Adnan, Sridhar Radhakrishnan, Suleyman Karabuk

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Tags: Algorithms, CUDA, Image processing, Neuroscience, nVidia, nVidia GeForce GTX 750 Ti, Tesla C1060, Tesla K20

September 17, 2015 by hgpu

SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration

Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott Mahlke

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 760, OpenCL

September 17, 2015 by hgpu

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

Analyzing the Impact of Kernel Fusion on GPU Tensor Operation Performance: A Systematic Performance Study

IntelliKit: Agent-first tooling for AMD hardware

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

DITRON: Distributed Compiler based on Triton for Parallel Systems

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs

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high performance computing on graphics processing units: hgpu.org

Programming

A Survey of CUDA-based Multidimensional Scaling on GPU Architecture

A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation

Overcomplete Dictionary Learning with Jacobi Atom Updates

A Co-Design Framework with OpenCL Support for Low-Energy Wide SIMD Processor

OpenCL Based Digital Image Projection Acceleration

Automatic OpenCL code generation for multi-device heterogeneous architectures

Automatic Online Tuning (AutoTune): Fully Extended Analysis

Parallel Decompression of Seismic Data on GPU Using a Lifting Wavelet Algorithm

Autotuning Wavefront Patterns for Heterogeneous Architectures

An OpenCL design of the Bob Jenkins lookup3 hash function using the Xilinx SDAccel Development Environment

Efficient Kernel Fusion Techniques for Massive Video Data Analysis on GPGPUs

SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration

Recent source codes

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

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