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A framework for efficient and scalable execution of domain-specific templates on GPUs

Narayanan Sundaram, Anand Raghunathan, S. T. Chakradhar

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 8800 GTX, Tesla C870

March 15, 2011 by hgpu

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Amnon Barak, Tal Ben-nun, Ely Levy, Amnon Shiloh

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Tags: Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, OpenMP

March 15, 2011 by hgpu

Dense point trajectories by GPU-accelerated large displacement optical flow

Narayanan Sundaram, Thomas Brox, Kurt Keutzer

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optical flow

March 15, 2011 by hgpu

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

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

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

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A framework for efficient and scalable execution of domain-specific templates on GPUs

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Dense point trajectories by GPU-accelerated large displacement optical flow

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

High-dimensional Planning on the GPU

A fast GPU algorithm for graph connectivity

GPU Accelerated Face Detection

Incoherent Ray tracing on GPU

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

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)