high performance computing on graphics processing units: hgpu.org

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GPU Based Performance Acceleration of Radar Imaging Algorithms

V. Jithesh, K.P. Jacob

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GT 610, OpenCL

April 1, 2014 by hgpu

Enhanced Parallel NegaMax Tree Search Algorithm on GPU

A.A. Elnaggar, M. Gadallah, M.A. Aziem , H. El-Deeb

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Tags: Algorithms, Artificial intelligence, CUDA, nVidia, nVidia GeForce GT 740 M, OpenCL, Search startegies

April 1, 2014 by hgpu

Code Generation for Embedded Heterogeneous Architectures on Android

R. Membarth, O. Reiche, F. Hannig, J. Teich

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Tags: Code generation, Heterogeneous systems, Image processing

April 1, 2014 by hgpu

Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey

S. Masih, S. Tanwani

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Tags: CUDA, Data mining, Databases, Review

March 31, 2014 by hgpu

Using CUDA Architecture for the Computer Simulation of the Casting Solidification Process

G. Michalski, N. Sczygiol

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Tags: CUDA, Differential equations, nVidia, nVidia GeForce GTX 260, nVidia Tesla C1060, Thermodynamics

March 30, 2014 by hgpu

A New High Performance GPU-based Approach to Prime Numbers Generation

A. Nezarat, M.M. Raja, G. Dastghaybifard

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Tags: Algorithms, CUDA, nVidia, nVidia 9600 GT, nVidia GeForce GTX 570, Security

March 30, 2014 by hgpu

Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements

B. Johnston, J. Barnes

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Tags: cardiac simulation, CUDA, Medicine, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 690

March 29, 2014 by hgpu

Literature review: Build and Travel KD-Tree with CUDA

M. Zhou

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Tags: CUDA, Graphics, KD-tree, Raytracing, Review

March 29, 2014 by hgpu

Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures

A.E. Sarıyuce, E. Saule, K. Kaya, U.V. Çatalyurek

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Tags: Algorithms, Graph theory, Intel Xeon Phi, Parallelization

March 29, 2014 by hgpu

Improving Cache Locality for GPU-based Volume Rendering

Y. Sugimoto, F. Ino, K. Hagihara

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Rendering

March 28, 2014 by hgpu

GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy

F. Ammazzalorso, T. Bednarz, U. Jelen

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Tags: Medicine, nVidia, nVidia Tesla C2050, OpenCL, Radiotherapy

March 28, 2014 by hgpu

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

N. Tuck

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Tags: AMD, ATI Radeon 5830, High-level Languages, nVidia, nVidia GeForce GTX 650 Ti, OpenCL, Programming techniques, Thesis

March 28, 2014 by hgpu

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

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Based Performance Acceleration of Radar Imaging Algorithms

Enhanced Parallel NegaMax Tree Search Algorithm on GPU

Code Generation for Embedded Heterogeneous Architectures on Android

Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey

Using CUDA Architecture for the Computer Simulation of the Casting Solidification Process

A New High Performance GPU-based Approach to Prime Numbers Generation

Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements

Literature review: Build and Travel KD-Tree with CUDA

Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures

Improving Cache Locality for GPU-based Volume Rendering

GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

Recent source codes

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

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

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