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High-performance CUDA kernel execution on FPGAs

Alexandros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen Mei

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Tags: Computer science, CUDA, FPGA, Performance, Programming techniques

January 11, 2011 by hgpu

High-speed volume ray casting with CUDA

L. Marsalek, A. Hauber, P. Slusallek

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Tags: Computer science, CUDA, nVidia, Poster, Real-time graphics

January 10, 2011 by hgpu

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Rick Weber, Akila Gothandaraman, Robert J. Hinde, Gregory D. Peterson

Tags: ATI, Brook, Computer science, CUDA, FPGA, nVidia, OpenCL, Performance

January 10, 2011 by hgpu

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

P. Alonso, R. Cortina, F. Martinez-Zaldivar, J. Ranilla

Tags: Computer science, CUBLAS, CUDA, MPI, nVidia, OpenMP

January 10, 2011 by hgpu

Importance sampling algorithms for first passage time probabilities in the infinite server queue

Ad Ridder

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Tags: Algorithms, Computer science, Monte Carlo simulation

January 10, 2011 by hgpu

Dense optical flow by iterative local window registration

G. Le Besnerais, F. Champagnat

Tags: Computer science, CUDA, nVidia, Optical flow

January 10, 2011 by hgpu

Connected component labeling on a 2D grid using CUDA

Oleksandr Kalentev, Abha Rai, Stefan Kemnitz, Ralf Schneider

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Tags: Algorithms, Computer science, CUDA, nVidia

January 10, 2011 by hgpu

Parallel Prefix Sum (Scan) with CUDA

Mark Harris, Shubhabrata Sengupta, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 9, 2011 by hgpu

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina, M. Castillo, F. D. Igual, R. Mayo, E. S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 9, 2011 by hgpu

Parallel programming for multimedia applications

Hari Kalva, Aleksandar Colic, Adriana Garcia, Borko Furht

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

January 9, 2011 by hgpu

High-throughput bayesian computing machine with reconfigurable hardware

Mingjie Lin, Ilia Lebedev, John Wawrzynek

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Tags: Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9400 M

January 9, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

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

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

See all packages

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high performance computing on graphics processing units: hgpu.org

High-performance CUDA kernel execution on FPGAs

High-speed volume ray casting with CUDA

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Neville elimination on multi- and many-core systems: OpenMP, MPI and CUDA

Importance sampling algorithms for first passage time probabilities in the infinite server queue

Dense optical flow by iterative local window registration

Connected component labeling on a 2D grid using CUDA

Parallel Prefix Sum (Scan) with CUDA

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

Parallel programming for multimedia applications

High-throughput bayesian computing machine with reconfigurable hardware

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Recent source codes

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

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

LLOR: Automatic Repair of OpenMP Programs

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