high performance computing on graphics processing units: hgpu.org

hgpu.org » Data Structures and Algorithms

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

Deterministic Sample Sort For GPUs

Frank Dehne, Hamidreza Zaboli

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Tags: Algorithms, Computational Complexity, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Sorting

November 12, 2010 by hgpu

Faster Radix Sort via Virtual Memory and Write-Combining

Jan Wassenberg, Peter Sanders

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Tags: Algorithms, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Sorting

November 10, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Deterministic Sample Sort For GPUs

Faster Radix Sort via Virtual Memory and Write-Combining

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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