Summary: FATSEA ­ An Architectural Simulator for
General Purpose Computing on GPUs
K.E. Østby1
, J.L. Arag´on1
, J.M. Garc´ia1
, and M. Ujald´on2
1
Computer Engineering and Technology Dept. 2
Computer Architecture Dept.
University of Murcia (Spain) University of Malaga (Spain)
Abstract. We present FATSEA, a functional and performance evalua-
tion simulator written in C++ to handle kernels written in the CUDA
programming language aimed for GPGPU computing. FATSEA takes
a Parallel Thread eXecution (PTX ) code as input, which is a device
independent code format generated by the Nvidia CUDA compiler, to
validate results and estimate performance on Nvidia platforms. This pa-
per shows results on a G80-based architecture for a set of well-known
kernels to illustrate the usefulness of our framework while performing a
preliminary validation for the tool.
1 Introduction

Source: Aragón Alcaraz, Juan Luis - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia

Collections: Computer Technologies and Information Sciences