Recent News
UNM receives $1.5 million to support computational workforce development
May 8, 2023
Tapia elected to Computing Research Association Board of Directors
March 3, 2023
UNM computer science students take part in HPC competition
March 3, 2023
Computer science professor, student part of AI panel on March 8
February 24, 2023
News Archives
Improving Microprocessor Performance and Energy-efficiency by Exploiting OS-aware Architecture Design
April 27, 2004
Date: Tuesday April 27, 2004
Time: 11am-12:15pm
Location: Woodward 149
Tao Li <tli3@ece.utexas.edu>
Department of Electrical and Computer Engineering University of Texas at Austin
Abstract: The Operating System (OS) which manages both hardware and software resources, constitutes a major component of today's complex systems. Many modern and emerging workloads (e.g., database, web servers and file/e-mail applications) exercise the OS significantly. However, microprocessor designs and (performance/power) optimizations have largely been driven by the user-level applications. In this talk, I will present the advantages and benefits of integrating OS component in processor architecture design. In the first part of my talk, I will show how control flow prediction hardware, which is critically to deliver instruction level parallel (ILP) and pipelining performance on today's highly-speculative and deeply-pipelined machine, can be cost-effectively adapted to significantly improve its speculation accuracy on the exception-driven, intermittent OS execution. In the second part of my talk, I will address the adaptations of processor resources to reduce OS power on today's high-complexity processors, which exploit aggressive hardware design to maximize the performance across a wide range of targeted applications.
Bio:Tao Li is currently a Ph.D. candidate (in Computer Engineering) at the Electrical and Computer Engineering Department, University of Texas at Austin. His research interests include: computer and system architecture, operating systems, energy-efficient design, modeling, simulation and evaluation of computer systems and hardware system prototyping.
