high performance computing on graphics processing units: hgpu.org

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Ensemble K-means on multi-core architectures

Girish Ravunnikutty, Rejith George Joseph, Sanjay Ranka, Alin Dobra

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Tags: Algorithms, ATI, ATI FirePro V7800, Clustering, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

February 10, 2012 by hgpu

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Dmitry Sopin, Denis Bogolepov, Danila Ulyanov

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Raytracing, Real-time graphics, Rendering

February 10, 2012 by hgpu

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tesla C2050

February 8, 2012 by hgpu

Verifiable Computation with Massively Parallel Interactive Proofs

Justin Thaler, Mike Roberts, Michael Mitzenmacher, Hanspeter Pfister

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Tags: Benchmarking, Cloud, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, Package, Security

February 8, 2012 by hgpu

A Computational Model of Afterimages

Tobias Ritschel, Elmar Eisemann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 480, OpenGL

February 6, 2012 by hgpu

Raytracing Dynamic Scenes on GPU

Sashidhar Guntury

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering, Sorting, Thesis

January 31, 2012 by hgpu

The Virtual OpenCL (VCL) Cluster Platform

Amnon Barak, Amnon Shiloh

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Tags: ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

January 31, 2012 by hgpu

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Byeongjun Choi, Byungjoon Chang, Insung Ihm

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

January 29, 2012 by hgpu

Accelerating incoherent dedispersion

Benjamin R. Barsdell, Matthew Bailes, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

January 27, 2012 by hgpu

Parallel LDPC Decoder Implementation on GPU Based on Unbalanced Memory Coalescing

Soonyoung Kang, Jaekyun Moon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Parity-check codes

January 25, 2012 by hgpu

GPU algorithms for comparison-based sorting and for merging based on multiway selection

Nikolaj Leischner

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, OpenCL, Sorting, Thesis

January 25, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Ensemble K-means on multi-core architectures

Real-Time SAH BVH Construction for Ray Tracing Dynamic Scenes

Auto-Generation and Auto-Tuning of 3D Stencil Codes on GPU Clusters

A Computational Model of Afterimages

Raytracing Dynamic Scenes on GPU

The Virtual OpenCL (VCL) Cluster Platform

Construction of Efficient Kd-Trees for Static Scenes Using Voxel-visibility Heuristic

Accelerating incoherent dedispersion

Parallel LDPC Decoder Implementation on GPU Based on Unbalanced Memory Coalescing

GPU algorithms for comparison-based sorting and for merging based on multiway selection

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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