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MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry Taylor

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Vector Machine

September 25, 2014 by hgpu

Scalability Analysis of Parallel Algorithms on GPU Clusters

Fengshun Lu, Yufei Pang, Fukang Yin

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Tags: Algorithms, Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Tesla M2050

September 25, 2014 by hgpu

High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Parallel Hierarchical Clustering on the GPU

Ursula Reiterer

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Tags: Algorithms, Clustering, Computer science, nVidia, nVidia GeForce GT 650 M, OpenCL, PTX, Thesis

September 20, 2014 by hgpu

Interactive Ray Tracing with Data Locality Optimizations

Sebastian Mayr

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Tags: Algorithms, ATI, ATI Radeon HD 5650 M, Computer science, nVidia, nVidia GeForce GT 520, OpenCL, Raytracing, Rendering, Thesis

September 20, 2014 by hgpu

Parallel Primitive Optimization for GPU and Multicore

Andreas Hormandinger

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Tags: ATI, ATI Radeon HD 6970, Code generation, Computer science, OpenCL, Thesis

September 20, 2014 by hgpu

On the evaluation of matrix polynomials using several GPGPUs

Pedro Alonso, Murilo Boratto, J. Peinado, J. Ibanez, Jorge Sastre

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

September 20, 2014 by hgpu

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Bin Ren

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, Memory model, nVidia, nVidia Quadro FX 5800, Prefetch, Tesla C2050, Thesis

September 19, 2014 by hgpu

GPU-based NSEC3 Hash Breaking

Matthaus Wander, Lorenz Schwittmann, Christopher Boelmann, Torben Weis

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Source codes

Tags: ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GTX 690, OpenCL, Package, Security

September 19, 2014 by hgpu

Automated Software Testing of Memory Performance in Embedded GPUs

Sudipta Chattopadhyay, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance

September 19, 2014 by hgpu

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

Yuan Wen, Zheng Wang, Michael F.P. O'Boyle

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, OpenCL, Task scheduling

September 17, 2014 by hgpu

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

Mathias Bourgoin, Emmanuel Chailloux

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Tags: Computer science, Java, nVidia, nVidia GeForce GTX 680, OpenCL

September 17, 2014 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

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Scalability Analysis of Parallel Algorithms on GPU Clusters

High performance histogramming on massively parallel processors

Parallel Hierarchical Clustering on the GPU

Interactive Ray Tracing with Data Locality Optimizations

Parallel Primitive Optimization for GPU and Multicore

On the evaluation of matrix polynomials using several GPGPUs

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

GPU-based NSEC3 Hash Breaking

Automated Software Testing of Memory Performance in Embedded GPUs

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

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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