high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Accelerating Nearest Neighbor Search on Manycore Systems

Lawrence Cayton

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Information Retrieval, Nearest neighbour, nVidia, Tesla C2050

March 15, 2011 by hgpu

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan

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Tags: Computer science, CUDA, Databases, nVidia, Sparse matrix, Tesla C1060

March 15, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles

Berkin Bilgic

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, Thesis

March 14, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 14, 2011 by hgpu

Efficient Integral Image Computation on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

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Tags: Computer vision, CUDA, Image processing, Image recognition, nVidia

March 14, 2011 by hgpu

High-dimensional Planning on the GPU

Mark Henderson, Joseph T. Kider Jr., Maxim Likhachev, Alla Safonova

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Path problems, Tesla C870

March 14, 2011 by hgpu

A fast GPU algorithm for graph connectivity

Jyothish Soman, Kothapalli Kishore, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060

March 14, 2011 by hgpu

GPU Accelerated Face Detection

Jiangang Kong, Yangdong Deng

Tags: Computer science, Computer vision, Image recognition, nVidia, nVidia GeForce GTX 280

March 14, 2011 by hgpu

Option Pricing on the GPU

Steven Solomon, Ruppa K Thulasiram, Parimala Thulasiraman

Tags: Computational finance, Finance

March 14, 2011 by hgpu

Incoherent Ray tracing on GPU

Xin Yang, Duan-Qing Xu, Lei Zhao

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Raytracing

March 14, 2011 by hgpu

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, FPGA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 14, 2011 by hgpu

Expanding the boundaries of GPU computing

Dell Power Solutions

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, Review, Tesla M1060, Tesla M2050, Tesla M2070

March 14, 2011 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

Applications

Accelerating Nearest Neighbor Search on Manycore Systems

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Fast Human Detection with Cascaded Ensembles

Fast Human Detection with Cascaded Ensembles on the GPU

Efficient Integral Image Computation on the GPU

High-dimensional Planning on the GPU

A fast GPU algorithm for graph connectivity

GPU Accelerated Face Detection

Option Pricing on the GPU

Incoherent Ray tracing on GPU

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Expanding the boundaries of GPU computing

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

Most viewed papers (last 30 days)