high performance computing on graphics processing units: hgpu.org

hgpu.org » Data Structures and Algorithms

Singular value decomposition for collaborative filtering on a GPU

Kimikazu Kato, Tikara Hosino

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Tags: Computer science, CUDA, Data Structures and Algorithms, Filtering, nVidia, nVidia GeForce GTX 280

March 3, 2011 by hgpu

Data Structures and Transformations for Physically Based Simulation on a GPU

Perhaad Mistry, Dana Schaa, Byunghyun Jang, David Kaeli, Albert Dvornik, Dwight Meglan

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 285, Physics-based simulation

February 22, 2011 by hgpu

Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

I-Jui Sung, John A. Stratton, Wen-Mei W. Hwu

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Tags: Compilers, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 280

February 20, 2011 by hgpu

A New Data Layout For Set Intersection on GPUs

Rasmus Resen Amossen, Rasmus Pagh

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Tags: Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 285, OpenCL, PyOpenCL

February 7, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

Fast GPGPU Data Rearrangement Kernels using CUDA

Michael Bader, Hans-Joachim Bungartz, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

January 18, 2011 by hgpu

Parallelization of Weighted Sequence Comparison by using EBWT

Binay Kumar Pandey, Shashank Srikant, Dr. Rajdeep Niyogi, Dr. Ankush Mittal

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia Quadro FX 3700

January 18, 2011 by hgpu

K-Means on Commodity GPUs with CUDA

Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan Li, Li He

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8800 GTX

January 12, 2011 by hgpu

Real-Time Concurrent Linked List Construction on the GPU

Jason C. Yang, Justin Hensley, Holger Grun, Nicolas Thibieroz

Tags: Computer science, Data Structures and Algorithms, DirectX, OpenGL

December 14, 2010 by hgpu

Abstract shade trees

Morgan McGuire, George Stathis, Hanspeter Pfister, Shriram Krishnamurthi

Tags: Artificial intelligence, Computer science, Data Structures and Algorithms, Shaders

December 4, 2010 by hgpu

Glift: Generic, efficient, random-access GPU data structures

Aaron E. Lefohn, Joe Kniss, Robert Strzodka, Shubhabrata Sengupta, John D. Owens

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Tags: Cg, Computer science, Data Structures and Algorithms, High-level Languages, nVidia, nVidia GeForce 6800 GT

December 2, 2010 by hgpu

Exploring the Limits of GPUs With Parallel Graph Algorithms

Frank Dehne, Kumanan Yogaratnam

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, Performance

November 12, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Singular value decomposition for collaborative filtering on a GPU

Data Structures and Transformations for Physically Based Simulation on a GPU

Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

A New Data Layout For Set Intersection on GPUs

Data access optimized applications on the GPU using NVIDIA CUDA

Fast GPGPU Data Rearrangement Kernels using CUDA

Parallelization of Weighted Sequence Comparison by using EBWT

K-Means on Commodity GPUs with CUDA

Real-Time Concurrent Linked List Construction on the GPU

Abstract shade trees

Glift: Generic, efficient, random-access GPU data structures

Exploring the Limits of GPUs With Parallel Graph Algorithms

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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