high performance computing on graphics processing units: hgpu.org

Lauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Wellington Santos Martins, Arlindo Rodrigues Galvao Filho, Clarimar Jose Coelho

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

December 8, 2013 by hgpu

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Julian Lamas-Rodriguez, Francisco Arguello, Dora B. Heras

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Visualization

December 8, 2013 by hgpu

Waste Not… Efficient Co-Processing of Relational Data

Holger Pirk, Stefan Manegold, Martin Kersten

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 680, OpenCL

December 8, 2013 by hgpu

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

Alexander Schluter, Adrian Willenbucher, Charlotte Kuhn

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Tags: Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2075

December 8, 2013 by hgpu

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

Nam-Luc Tran, Quentin Dugauthier, Sabri Skhiri

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Tags: Clustering, Computer science, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, Tesla K20

December 6, 2013 by hgpu

A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

Erik Hansson, Erik Alnervik, Christoph Kessler, Martti Forsell

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Tags: Computer science, CUDA, nVidia, Performance, Tesla M2050

December 6, 2013 by hgpu

Parallel tree-ensemble algorithms for GPUs using CUDA

Karl Jansson, Hakan Sundell, Henrik Bostrom

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla K20

December 6, 2013 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Efficient Volume Rendering in CUDA Path Tracer

Algorithm for Sparse Approximate Inverse Preconditioners in the Conjugate Gradient Method

The Comparisons of OpenCL and OpenMP Computing Paradigm

Locality Analysis for Characterizing Applications Based on Sparse Matrices

Advanced ultrasound beam forming using GPGPU technology

Partial Parallelization of the Successive Projections Algorithm using Compute Unified Device Architecture

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Waste Not… Efficient Co-Processing of Relational Data

GPU-Accelerated Crack Path Computation Based on a Phase Field Approach for Brittle Fracture

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

A Quantitative Comparison of Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

Parallel tree-ensemble algorithms for GPUs using CUDA

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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