Second Workshop on Productivity and Performance in High-End Computing (P-PHEC)


to be held in conjunction with the
11th International Symposium on High-Performance Computer Architecture (HPCA-2005)
at the Palace Hotel, San Francisco
Sunday, February 13, 2005

The goal of this workshop is to examine productivity issues and the metrics used to measure them, in the context of high-end computing (HEC) systems, and to provide a forum for research addressing productivity in high-end computing systems.

The peak performance of processors has been increasing at an exponential rate, typically doubling every eighteen months. However, this increase in processing capability has not resulted in a corresponding improvement in system productivity for high-end applications and systems. In addition to traditional performance metrics, the productivity of a system is governed by other metrics such as application development time, time to solution, performance portability, robustness, and ease of both correctness validation and performance tuning. With both the range and the complexity of high-end applications continuing to increase, factors other than raw performance are becoming more important to the HEC system user.

Topics

Following is a partial list of topics upon which papers are solicited:

  1. Methods, approaches and tools for increasing productivity and/or reducing usage complexity of high-end applications and systems.
  2. Productivity metrics: measures of productivity in HEC systems and experiments to validate these measures.
  3. Analysis and characterization of HEC workloads and workflows and their distinct requirements.
  4. Impact of HEC system properties on time-to-solution or other productivity metrics.
  5. Case studies of productivity measurements and experiments on HEC applications and systems.

Dates and Submissions

Submissions due: December 3, 2004 -- EXTENDED TO DECEMBER 10, 2004
Author Notifications: Jan 10, 2005 (moved from December 20, 2005)
Final Papers Due: Jan 24, 2005
Workshop Date: Sunday, Feb 13, 2005

Papers should not exceed 15 pages, with double-spaced 11pt size fonts in Adobe PDF format. Please e-mail papers to rajamony@us.ibm.com with the subject: "HPCA Productivity Workshop"

Program Committee

John Carter (Univ. of Utah)
Pedro Diniz (ISI)
Doug Post (LANL)
Ram Rajamony (IBM, Program Chair)
Vijay Saraswat (IBM)
Marc Snir (UIUC)
Larry Votta (Sun)

ADVANCE PROGRAM Workshop Proceedings in pdf

8:30 - 9:30

Keynote: Mitigating the risks faced by large-scale computational science
Douglass E. Post, Los Alamos National Laboratory

9:30 - 10:00

Influence of Workload Characterization on DoD High Performance Computing Modernization Program Acquisitions
Roy L. Campbell, Jr. and Larry P. Davis

10:00 - 10:30

BREAK

10:30 - 11:00

What Do Programmers of Parallel Machines Need? A Survey
Larry Votta, Susan Squires, and Walter Tichy

11:00 - 11:30

Toward The Automated Generation of Components from Existing Source Code
Daniel Quinlan, Qing Yi, Gary Kumfert, Thomas Epperly, Tamara Dahlgren, Markus Schordan, and Brian White

11:30 - 12:00

Improving Time to Solution with Automated Performance Analysis
Shirley Moore, Felix Wolf, Jack Dongarra, and Bernd Mohr

12:00 - 1:00

LUNCH

1:00 - 1:30

The FG Programming Environment: Reducing Source Code Size for Parallel Programs Running on Clusters
Elena Riccio Davidson and Thomas H. Cormen

1:30 - 2:00

A Productive Programming Environment for Stream Computing
Kimberly Kuo, Rodric M. Rabbah, and Saman Amarasinghe

2:00 - 2:30

X10: an Experimental Language for High Productivity Programming of Scalable Systems
Kemal Ebcioglu, Vijay Saraswat, and Vivek Sarkar

2:30 - 3:00

BREAK

3:00-3:30

Understanding Productivity through Non-intrusive Instrumentation and Statistical Learning
Nicholas A. Nystrom, John Urbanic, and Christina Savinell

3:30 - 4:00

Understanding HPC Development through Automated Process and Product Measurement with Hackystat
Philip M. Johnson and Michael G. Paulding

If you have any questions, e-mail rajamony@us.ibm.com

Information about PPHEC-1 (2004)