Performance/Power Design Space Exploration and Analysis for GPU Based Software

Improving the GPU performance prediction models to design space exploration

Recently, GPUs have also been used plenty in the scientific calculations for high-performance in parallel computing power and low energy consumption. Offering GPU performance prediction models base on Micro-architecture parameters to optimal design in the hardware process of the GPU, has been the subject of prior works. In this article, we defined design space NVIDIA Fermi GPU bigger than the p...

A Power Aware Cache and Register File Design Space Exploration

Design Space Exploration for GPU-Based Architecture

Recent advances in Graphics Processing Units (GPUs) provide opportunities to exploit GPUs for non-graphics applications. Scientific computation is inherently parallel, which is a good candidate to utilize the computing power of GPUs. This report investigates QR factorization, which is an important building block of scientific computation. We analyze different mapping mtheods of QR factorization...

Design Space Exploration framework for memory exploration in heterogeneous architectures

The increasing amount of computation in heterogeneous architectures (including CPU and GPU cores) puts a big burden on memory subsystem. With the gap between compute units and the memory performance getting wider, designing a platform with a responsive memory system becomes more challenging. This issue is exacerbated when memory systems have to satisfy a high volume of traffic generated from he...

Fast Software-Level Power Estimation for Design Space Exploration

Aim of the proposed methodology is to perform design space exploration at a high-level of abstraction based on high-level estimations of different parameters. In particular, this paper presents a methodology for static and dynamic estimation of the power consumption of the software components. This analysis is based on a fast software compilation strategy that allows a fast re-targeting over di...