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Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow

November 14, 2013 by hgpu

On the origin of yet another channel

Petr Svenda, Vaclav Matyas

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Security

November 14, 2013 by hgpu

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

Roberto Velasco-Segura, Pablo L. Rendon

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, Physics, Tesla C2075

November 14, 2013 by hgpu

Designing Scientific Applications on GPUs

Raphael Couturier

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Tags: Book, Computer science, CUDA, Factorization, Fluid simulation, Image processing, Mathematics, nVidia, Physics, Tutorial

November 13, 2013 by hgpu

Anatomy of High-Performance Many-Threaded Matrix Multiplication

Tyler M. Smith, Robert van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, Field Van Zee

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Tags: Computer science, Intel Phi, Intel Xeon Phi, Matrix multiplication, Performance

November 13, 2013 by hgpu

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

Eugen Ruzicky, Markus Rupp, Peter Farkas, Atilio Gameiro

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 680

November 13, 2013 by hgpu

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

P. Lujan, V. Halyo, A. Hunt, P. Jindal, P. LeGresley

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Tags: Algorithms, CUDA, Instrumentation and Detectors, nVidia, Physics, Tesla C2075, Tesla K20

November 13, 2013 by hgpu

Lattice Simulations using OpenACC compilers

Pushan Majumdar

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Mathematical Software, nVidia, OpenACC, Physics, Tesla X2090

November 13, 2013 by hgpu

Indexing million of packets per second using GPUs

F. Fusco, M. Vlachos, X. Dimitropoulos, L. Deri

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Tags: bitmapindexing, Compression, Indexing, nVidia, nVidia GeForce GTX 670, Thrust

November 13, 2013 by ffusco

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Michal Januszewski, Marcin Kostur

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Tags: Code generation, Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285, OpenCL, Package, Physics, Python, Tesla C1060, Tesla C2050, Tesla K10, Tesla K20

November 12, 2013 by hgpu

High speed cipher cracking: the case of Keeloq on CUDA

Giovanni Agosta, Alessandro Barenghi, Gerardo Pelosi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470, Security

November 12, 2013 by hgpu

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Shuo Chen

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2070, Tesla C2075, Thesis

November 12, 2013 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Applications

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

On the origin of yet another channel

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

Designing Scientific Applications on GPUs

Anatomy of High-Performance Many-Threaded Matrix Multiplication

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

Lattice Simulations using OpenACC compilers

Indexing million of packets per second using GPUs

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

High speed cipher cracking: the case of Keeloq on CUDA

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

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