nVidia Quadro K4000

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On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU

Ulysse Beaugnon, Basile Clément, Nicolas Tollenaere, Albert Cohen

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Tags: Analytical model, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro K4000, Programming Languages

April 14, 2019 by hgpu

Balancing locality and concurrency: solving sparse triangular systems on GPUs

Andrea Picciau, Gordon E. Inggs, John Wickerson, Eric C. Kerrigan, George A. Constantinides

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Tags: Algorithms, AMD FirePro W5000, ATI, Computer science, Linear Algebra, nVidia, nVidia Quadro K4000, OpenCL, Sparse matrix

November 8, 2016 by hgpu

Algorithmic Trading: A brief, computational finance case study on data centre FPGAs

Gordon Inggs

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, nVidia, nVidia Quadro K4000, OpenCL

July 20, 2016 by hgpu

Accelerating IISPH: A Parallel GPGPU Solution Using CUDA

Andre Eliasson, Pontus Franzen

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 970, nVidia Quadro K4000, OpenMP, Thesis

August 12, 2015 by hgpu

Performance analysis of GPGPU and CPU On AES Encryption

Akash Kiran Neelap

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro K4000, Pthreads, Security, Thesis

July 15, 2015 by hgpu

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Gordon Inggs, David B. Thomas, Wayne Luk

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Grid K2, nVidia Quadro K4000, OpenCL, Option pricing, Performance

May 20, 2015 by hgpu

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Victor Allombert, David Michea, Fabrice Dupros, Christian Bellier, Bernard Bourgine, Hideo Aochi, Sylvain Jubertie

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia Quadro K4000

June 18, 2014 by hgpu

Parallel Irradiance Caching on the GPU

Nathaniel L. Jones

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia Quadro K4000, OptiX, Package, Raytracing

January 5, 2014 by hgpu

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs

Furong Huang, Niranjan U N, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar

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Tags: Computer science, CUDA, CULA, Machine learning, nVidia, nVidia Quadro K4000, nVidia Quadro K5000

September 9, 2013 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

On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU

Balancing locality and concurrency: solving sparse triangular systems on GPUs

Algorithmic Trading: A brief, computational finance case study on data centre FPGAs

Accelerating IISPH: A Parallel GPGPU Solution Using CUDA

Performance analysis of GPGPU and CPU On AES Encryption

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Parallel Irradiance Caching on the GPU

Fast Detection of Overlapping Communities via Online Tensor Methods on 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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