DARPA's HPCS Program- History, Models, Tools, Languages

نویسندگان

  • Jack J. Dongarra
  • Robert Graybill
  • William Harrod
  • Robert F. Lucas
  • Ewing L. Lusk
  • Piotr Luszczek
  • Janice McMahon
  • Allan Snavely
  • Jeffrey S. Vetter
  • Katherine A. Yelick
  • Sadaf R. Alam
  • Roy L. Campbell
  • Laura Carrington
  • Tzu-Yi Chen
  • Omid Khalili
  • Jeremy S. Meredith
  • Mustafa M. Tikir
چکیده

The historical context surrounding the birth of the DARPA High Productivity Computing Systems (HPCS) program is important for understanding why federal government agencies launched this new, longterm high performance computing program and renewed their commitment to leadership computing in support of national security, large science, and space requirements at the start of the 21st century. In this chapter we provide an overview of the context for this work as well as various procedures being undertaken for evaluating the effectiveness of this activity including such topics as modeling the proposed performance of the new machines, evaluating the proposed architectures, understanding the languages used to program these machines as well as understanding programmer productivity issues in order to better prepare for the introduction of these machines in the 2011-2015 timeframe. Reference: @article{dongarra2008darpa, title={{DARPA’s HPCS Program: History, Models, Tools, Languages}}, author={Dongarra, J. and Graybill, R. and Harrod, W. and Lucas, R. and Lusk, E. and Luszczek, P. and McMahon, J. and Snavely, A. and Alam, S. and Campbell, ROY and others}, journal={Advances in Computers: High Performance Computing}, volume={72}, pages={1}, year={2008}, publisher={Academic Press} } Copyright © 2007 PMaC Lab. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Design and Implementation of the HPC Challenge Benchmark Suite

The HPCC benchmark suite was initially developed for the DARPA's HPCS program 1 to provide a set of standardized hardware probes based on commonly occurring computational software kernels. The HPCS program has initiated a fundamental reassessment of how we define and measure performance, programmability, portability, robustness and, ultimately, productivity in the high-end domain. Consequently,...

متن کامل

Integrating Legacy Tools and Data Sources

Under DARPA and internal funding, Lockheed Martin has been researching information needs profiling to manage information dissemination as applied to logistics, image analysis and exploitation, and battlefield information management. We have demonstrated key software tools to aid in the dissemination of data based on a user's needs and the changing world environment. The Lockheed Martin effort h...

متن کامل

Introduction to the HPCChallenge Benchmark Suite∗

The HPCChallenge suite of benchmarks will examine the performance of HPC architectures using kernels with memory access patterns more challenging than those of the High Performance Linpack (HPL) benchmark used in the Top500 list. The HPCChallenge suite is being designed to augment the Top500 list, provide benchmarks that bound the performance of many real applications as a function of memory ac...

متن کامل

Survey on High Productivity Computing Systems (HPCS) Languages

Saliya Ekanayake School of Informatics and Computing, Indiana University [email protected] Abstract Parallel languages have been focused towards performance, but it alone is not be sufficient to overcome the barrier of developing software that exploits the power of evolving architectures. DARPA initiated high productivity computing systems (HPCS) languages project as a solution which addr...

متن کامل

DARPA's Big Mechanism program.

Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Advances in Computers

دوره 72  شماره 

صفحات  -

تاریخ انتشار 2008