Software-Oriented system-level simulation for design space exploration of reconfigurable architectures

Authors:
K. S. Tham;D. L. Maskell
Affiliations:
Centre for High Performance Embedded Systems, Nanyang Technological University, Singapore;Centre for High Performance Embedded Systems, Nanyang Technological University, Singapore
Venue:
ACSAC'05 Proceedings of the 10th Asia-Pacific conference on Advances in Computer Systems Architecture
Year:
2005

Citing 7
Cited 0

Hardware-software co-design of embedded reconfigurable architectures

Proceedings of the 37th Annual Design Automation Conference
A Serial-Parallel Architecture for Two-Dimensional Discrete Cosine and Inverse Discrete Cosine Transforms

IEEE Transactions on Computers
The Raw Microprocessor: A Computational Fabric for Software Circuits and General-Purpose Programs

IEEE Micro
The Instruction Systolic Array - Implementation of a Low-Cost Parallel Architecture as Add-On Board for Personal Computers

HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume II: Networking and Tools
Partially Reconfigurable Cores for Xilinx Virtex

FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
The Imagine Stream Processor

ICCD '02 Proceedings of the 2002 IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD'02)
Lava and JBits: From HDL to Bitstream in Seconds

FCCM '01 Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines

Quantified Score

Hi-index	0.00

Visualization

Abstract

To efficiently utilize the functionality of dynamic reconfigurable computing systems, it is imperative that a software-oriented approach for modeling complex hardware/software systems be adopted. To achieve this, we need to enhance the simulation environment to understand these dynamic reconfiguration requirements during system-level modeling. We present a flexible simulation model which is able to produce multiple views/contexts for a given problem. We use this model to examine each view for the mapping space, bandwidth, reconfiguration requirements, and configuration patterns of each computational problem.