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Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Matthew Anker

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Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Pseudo-random number generators, Tesla C2050, Thesis

November 25, 2013 by hgpu

Optimising Monte Carlo option pricing using GPUs

Ryan Saunders

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Tags: CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 780

November 24, 2013 by hgpu

Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures

Blesson Varghese, Andrew Rau-Chaplin

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Tags: Computational Engineering, Computer science, CUDA, Finance, nVidia, Risk Management, Tesla C2075

October 10, 2013 by hgpu

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Isaiah Hull

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 560 Ti, Stochastic simulation

September 30, 2013 by hgpu

Multi-GPU Acceleration of Black-Scholes Equation based Option Pricing

Di Zhao, Jinhang Yu

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Tags: Algorithms, CUDA, Differential equations, Finance, nVidia, nVidia GeForce GTX 660, Partial differential equations, PDEs

September 23, 2013 by hgpu

A GPU Accelerated BiConjugate Gradient Stabilized Solver for Speeding-up Large Scale Model Evaluation

Alexandru Voicu

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Tags: ATI, ATI Radeon HD 7970, Finance, OpenCL

September 14, 2013 by hgpu

Bitcoin and The Age of Bespoke Silicon

Michael Bedford Taylor

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Tags: ASIC, ATI, Finance, FPGA, nVidia, OpenCL, Performance, Review

August 31, 2013 by hgpu

Solutions for Optimizing the Monte Carlo Option Pricing Method’s Implementation Using the Compute Unified Device Architecture

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

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Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 680, Optimization

August 27, 2013 by hgpu

GPU Acceleration of a Basket Option Pricing Engine

Sean Trainor, Danny Crookes

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Tags: Algorithms, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 670, OpenCL

August 14, 2013 by hgpu

Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs

A. K. Bahl, O. Baltzer, A. Rau-Chaplin, B. Varghese, A. Whiteway

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Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Risk Management, Stochastic simulation, Tesla C2075, Tesla M2090

August 13, 2013 by hgpu

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

Aman Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, Finance, Monte Carlo simulation, nVidia, Stochastic simulation, Tesla C2075

August 12, 2013 by hgpu

GPU Computing in Economics

Eric M. Aldrich

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Source codes

Tags: CUDA, Finance, nVidia, Package, Review, Tesla C2075

July 20, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Optimising Monte Carlo option pricing using GPUs

Accounting for Secondary Uncertainty: Efficient Computation of Portfolio Risk Measures on Multi and Many Core Architectures

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Multi-GPU Acceleration of Black-Scholes Equation based Option Pricing

A GPU Accelerated BiConjugate Gradient Stabilized Solver for Speeding-up Large Scale Model Evaluation

Bitcoin and The Age of Bespoke Silicon

Solutions for Optimizing the Monte Carlo Option Pricing Method’s Implementation Using the Compute Unified Device Architecture

GPU Acceleration of a Basket Option Pricing Engine

Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

GPU Computing in Economics

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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