Posts
Jul, 7
Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters
Tensor contractions are generalized multidimensional matrix multiplication operations that widely occur in quantum chemistry. Efficient execution of tensor contractions on GPUs requires tackling several challenges to be addressed, including index permutation and small dimension-sizes reducing thread block utilization. In this paper, we present our approach to automatically generate CUDA code to execute tensor contractions on […]
Jul, 7
Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing
This paper provides the first comparison of performance and energy efficiency of high productivity computing systems based on FPGA (Field-Programmable Gate Array) and GPU (Graphics Processing Unit) technologies. The search for higher performance compute solutions has recently led to great interest in heterogeneous systems containing FPGA and GPU accelerators. While these accelerators can provide significant […]
Jul, 7
Optimization of a FDTD code for graphical processing units
Modern graphics processing units (GPUs) provide high computational power which can significantly decrease simulation time. We present two implementations of the FDTD algorithm on GPU and compare their performance with the CPU version.
Jul, 7
Pricing of cross-currency interest rate derivatives on Graphics Processing Units
We present a Graphics Processing Unit (GPU) parallelization of the computation of the price of cross-currency interest rate derivatives via a Partial Differential Equation (PDE) approach. In particular, we focus on the GPU-based parallel computation of the price of long-dated foreign exchange interest rate hybrids, namely Power Reverse Dual Currency (PRDC) swaps with Bermudan cancelable […]
Jul, 7
High precision integer multiplication with a graphics processing unit
In this paper we evaluate the potential for using an NVIDIA graphics processing unit (GPU) to accelerate high precision integer multiplication. The reported peak vector performance for a typical GPU appears to offer considerable potential for accelerating such a regular computation. Because of limitations in the on-chip memory, the high cost of kernel launches, and […]
Jul, 7
Introducing Energy Efficiency into Graphics Processors
Graphics processor (GPU) architectures have evolved rapidly in recent years with increasing performance demanded by 3D graphics applications such as games. However, challenges exist in integrating complex GPUs into mobile devices because of power and energy constraints, motivating the need for energy efficiency in GPUs. While a significant amount of power optimisation research effort has […]
Jul, 7
An Adaptive Hybrid Multiprocessor technique for bioinformatics sequence alignment
Sequence alignment algorithms such as the Smith-Waterman algorithm are among the most important applications in the development of bioinformatics. Sequence alignment algorithms must process large amounts of data which may take a long time. Here, we introduce our Adaptive Hybrid Multiprocessor technique to accelerate the implementation of the Smith-Waterman algorithm. Our technique utilizes both the […]
Jul, 7
Graphics Processing Unit Accelerated O(N) Micromagnetic Solver
An efficient micromagnetic solver running on graphics processing units (GPU) is demonstrated. The solver implements a nonuniform grid interpolation method (NGIM) to compute the superposition integral for the magnetostatic field with operations and memory requirements. The NGIM divides the computational domain into a hierarchy of boxes containing sources and observers, and it uses spatial interpolation […]
Jul, 6
Accelerating Wavelet Lifting on Graphics Hardware Using CUDA
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to video and image compression. We show that this transform, by means of the lifting scheme, can be performed in a memory and computation-efficient way on modern, programmable GPUs, which can be regarded as massively parallel coprocessors through NVidia’s CUDA compute […]
Jul, 6
Option pricing with COS method on graphics processing units
In this paper, acceleration on the GPU for option pricing by the COS method is demonstrated. In particular, both European and Bermudan options will be discussed in detail. For Bermudan options, we consider both the Black-Scholes model and Levy processes of infinite activity. Moreover, the influence of the number of terms in the Fourier-cosine expansion, […]
Jul, 6
Fast face recognition approach using a graphical processing unit (GPU)
In this manuscript, we present an implementation of a correlation method for face recognition application on GPU. Our correlator is based on the famous "4f" setup and the use of a Phase Only Filter (POF). Traditionally, the correlation method is implemented using optical components for real-time application. Unfortunately, optical implementation is complex and has exorbitant […]
Jul, 6
Tuning A Hybrid GPU-CPU V-cycle Multilevel Preconditioner for Solving Large Real and Complex Systems of FEM Equations
This paper presents techniques for tuning an accelerated preconditioned conjugate gradient solver with a multilevel preconditioner. The solver is optimized for a fast solution of sparse systems of equations arising in computational electromagnetics in a finite element method using higher order elements. The goal of the tuning is to increase the throughput while at the […]
