high performance computing on graphics processing units: hgpu.org

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Automatic transformation and optimization of applications on GPUs and GPU clusters

Wenjing Ma

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Tags: Algorithm optimization, Algorithms, Benchmarking, Code generation, Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2, Optimization, Tesla T10, Thesis

November 9, 2011 by hgpu

Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit

Eli Koffi Kouassi, Toshiyuki Amagasaa, Hiroyuki Kitagawa

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Semantic indexing, Tesla C2050

October 26, 2011 by hgpu

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Ozisikyilmaz, Sanchit Misra, Gokhan Memik

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Tags: Computer science, CUDA, Data mining, FPGA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT

September 30, 2011 by hgpu

Fast Frequent Itemset Mining from Uncertain Databases using GPGPU

Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia Quadro FX 4800

September 27, 2011 by hgpu

GPU-based cloud performance for LiDAR data processing

Ramanathan Sugumaran, Dossay Oryspayev, Paul Gray

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Tags: Algorithms, Cloud, Computer science, CUDA, Data mining, Databases, Earth and Space Sciences, nVidia, Performance

September 21, 2011 by hgpu

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Amol Ghoting, Prabhanjan Kambadur, Edwin Pednault, Ramakrishnan Kannan

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Tags: Algorithms, Computer science, Data mining, Machine learning, MapReduce, MPI, OpenCL, Performance, Software Engineering

September 16, 2011 by hgpu

Data-intensive document clustering on graphics processing unit (GPU) clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GTX 280, Tesla C1060

September 13, 2011 by hgpu

Challenges of medical image processing

Ingrid Scholl, Til Aach, Thomas M. Deserno, Torsten Kuhlen

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Tags: Algorithms, Data mining, Grid, Image processing, Medicine, Review, Virtual reality, Visualization

September 11, 2011 by hgpu

Hyperfast Perspective Cone–Beam Backprojection

M. Kachelriess, M. Knaup, O. Bockenbach

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Tags: Algorithms, Cell processor, Computer science, Data mining, Distributed computing, FPGA, Image reconstruction, Nearest neighbour, nVidia, nVidia GeForce FX 5900

August 31, 2011 by hgpu

A new method for GPU based irregular reductions and its application to k-means clustering

Balaji Dhanasekaran, Norman Rubin

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Data mining, Heterogeneous systems, OpenCL, Performance, Programming techniques

August 21, 2011 by hgpu

Multi- and many-core data mining with adaptive sparse grids

Alexander Heinecke, Dirk Pfluger

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Tags: Algorithms, Computer science, Data mining, Mathematical Software, nVidia, nVidia GeForce GTX 470, OpenCL, Performance, Presentation

August 21, 2011 by hgpu

Approaches for parallelizing reductions on modern GPUs

Xin Huo, V.T. Ravi, Wenjing Ma, G. Agrawal

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia

August 10, 2011 by hgpu

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

See all packages

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high performance computing on graphics processing units: hgpu.org

Automatic transformation and optimization of applications on GPUs and GPU clusters

Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Fast Frequent Itemset Mining from Uncertain Databases using GPGPU

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Data-intensive document clustering on graphics processing unit (GPU) clusters

Challenges of medical image processing

Hyperfast Perspective Cone–Beam Backprojection

A new method for GPU based irregular reductions and its application to k-means clustering

Multi- and many-core data mining with adaptive sparse grids

Approaches for parallelizing reductions on modern GPUs

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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