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Performance of GPU for Pricing Financial Derivatives: Convertible Bonds

Yuh-Dauh Lyuu, Kuo-Wei Wen, Yi-Chun Wu

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8800 GTS

June 30, 2012 by hgpu

Point Based Color Bleeding with CUDA and Caching

Nick Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Rasterization

June 30, 2012 by hgpu

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

Garland Durham, John Gewekey

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Tags: Algorithms, Bayesian, CUDA, Finance, nVidia, nVidia GeForce GTX 570

June 29, 2012 by hgpu

A Parallel Image Segmentation Algorithm on GPUs

P. N. Happ, R. Q. Feitosa, C. Bentes, R. Farias

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 9600 GT, Tesla C1060

June 29, 2012 by hgpu

Shallow Water Simulation on GPUs for Sparse Domains

Martin L. Saetra

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Tags: CUDA, Fluid dynamics, nVidia, Partial differential equations, PDEs

June 29, 2012 by hgpu

Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices

Andre R. Brodtkorb, Martin L. Saetra

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580

June 27, 2012 by hgpu

A Parallel Monte Carlo Code for Simulating Collisional N-body Systems

Bharath Pattabiraman, Stefan Umbreit, Wei-Keng Liao, Alok Choudhary, Vassiliki Kalogera, Gokhan Memik, Frederic A. Rasio

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, Nearest neighbour, nVidia, nVidia GeForce GTX 280, Sorting

June 27, 2012 by hgpu

GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures

Kai Ma, Xue Li, Wei Chen, Chi Zhang, Xiaorui Wang

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Tags: Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX

June 26, 2012 by hgpu

Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

Jiri Jaros

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Source codes

Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, MPI, nVidia, nVidia GeForce GTX 580, Package

June 26, 2012 by hgpu

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Christophe Dubach, Perry Cheng, Rodric Rabbah, David F. Bacon, Stephen J. Fink

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Tags: ATI, ATI Radeon HD 5970, Compilers, Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 26, 2012 by hgpu

A Parallel Algorithm Development Model for the GPU Architecture

J. Steven Kirtzic, Ovidiu Daescu

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Tags: Algorithms, Computer science, CUDA, nVidia

June 25, 2012 by hgpu

Improving GPU Simulations of Spiking Neural P Systems

Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-Del-Amor, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Linear Algebra, Membrane computing, Neural networks, nVidia, P systems, Tesla C1060

June 25, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Programming

Performance of GPU for Pricing Financial Derivatives: Convertible Bonds

Point Based Color Bleeding with CUDA and Caching

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

A Parallel Image Segmentation Algorithm on GPUs

Shallow Water Simulation on GPUs for Sparse Domains

Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices

A Parallel Monte Carlo Code for Simulating Collisional N-body Systems

GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures

Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

A Parallel Algorithm Development Model for the GPU Architecture

Improving GPU Simulations of Spiking Neural P Systems

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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