high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » paper

Real-Time Computation of Parameter Fitting and Image Reconstruction Using Graphical Processing Units

Uldis Locans, Andreas Adelmann, Andreas Suter, Jannis Fischer, Werner Lustermann, Gunther Dissertori, Qiulin Wang

View

Download (PDF)

Tags: Computational Physics, Computer science, CUDA, Image reconstruction, nVidia, Tesla K40

April 12, 2016 by hgpu

GIFT: A Real-time and Scalable 3D Shape Search Engine

Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki

View

Download (PDF)

Tags: Computer science, Computer vision, Deep learning

April 9, 2016 by hgpu

Monte-Carlo Black-Scholes Implementation using OpenCL Standard

Chirag Patel, M. Srikanth, Kalyani Chetan Kumar, S. Sivanantham

View

Download (PDF)

Tags: Finance, FPGA, OpenCL

April 9, 2016 by hgpu

Optimizing Performance of Recurrent Neural Networks on GPUs

Jeremy Appleyard, Tomas Kocisky, Phil Blunsom

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, Lua, Neural networks, nVidia, Package, RNN, Tesla M40

April 9, 2016 by hgpu

dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures

Steven Eliuk, Cameron Upright, Anthony Skjellum

View

Download (PDF)

Tags: Computer science, CUDA, Deep learning, Heterogeneous systems, Linear Algebra, Matrix multiplication, Neural and Evolutionary Computing, Neural networks, nVidia, OpenMPI, Tesla K80

April 9, 2016 by hgpu

GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing

X. Bellekens, C. Tachtatzis, R. C. Atkinson, C. Renfrew, T. Kirkham

View

Download (PDF)

Tags: CUDA, nVidia, Security, Tesla K20

April 9, 2016 by xhgpu

A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems

X. J. A. Bellekens, C. Tachtatzis, R. C. Atkinson, C. Renfrew, T. Kirkham

View

Download (PDF)

Tags: CUDA, nVidia, Security, Tesla K20

April 9, 2016 by xhgpu

An Exploratory Study of High Performance Graphics Application Programming Interfaces

Joseph Shiraef

View

Download (PDF)

Tags: AMD Radeon R9 290X, ATI, Computer science, DirectX, nVidia, nVidia GeForce GTX 970, OpenGL, Performance, Thesis, Vulkan

April 6, 2016 by hgpu

gpucc: an open-source GPGPU compiler

Jingyue Wu, Artem Belevich, Eli Bendersky, Mark Heffernan, Chris Leary, Jacques Pienaar, Bjarke Roune, Rob Springer, Xuetian Weng, Robert Hundt

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, LLVM, nVidia, Presentation, Tesla K40

April 6, 2016 by hgpu

Automatic test case reduction of randomly generated OpenCL kernels

Moritz Pflanzer

View

Download (PDF)

Tags: Code generation, Computer science, LLVM, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, nVidia Quadro K5200, OpenCL, Thesis

April 6, 2016 by hgpu

Are Very Deep Neural Networks Feasible on Mobile Devices?

S. Rallapalli, H. Qiu, A. J. Bency, S. Karthikeyan, R. Govindan, B.S.Manjunath, R. Urgaonkar

View

Download (PDF)

Tags: CNN, Computer science, Computer vision, CUDA, Deep learning, Neural networks, nVidia, nVidia Jetson TK1

April 6, 2016 by hgpu

GPU-accelerated stochastic predictive control of drinking water networks

Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos

View

Download (PDF)

Tags: CUDA, Mathematics, nVidia, Tesla C2075

April 6, 2016 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Real-Time Computation of Parameter Fitting and Image Reconstruction Using Graphical Processing Units

GIFT: A Real-time and Scalable 3D Shape Search Engine

Monte-Carlo Black-Scholes Implementation using OpenCL Standard

Optimizing Performance of Recurrent Neural Networks on GPUs

dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures

GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing

A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems

An Exploratory Study of High Performance Graphics Application Programming Interfaces

gpucc: an open-source GPGPU compiler

Automatic test case reduction of randomly generated OpenCL kernels

Are Very Deep Neural Networks Feasible on Mobile Devices?

GPU-accelerated stochastic predictive control of drinking water networks

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

Most viewed papers (last 30 days)