Power Management for Exascale∗
نویسندگان
چکیده
Most performance studies of large-scale HPC systems and their workloads have focused primarily on flops, bandwidth, and latency. Few concrete studies exist that focus on quantifying power and energy consumption at the hardware and software levels. Until recently, system vendors have had little incentive to expose extensive system and component-level power interfaces to users. Consequently, the power-management methodology is lacking, and the underlying capabilities in today’s computer systems are limited or missing.
منابع مشابه
Introspective Fault Tolerance for Exascale Systems∗
Faults and errors are an unavoidable aspect of high performance computing systems. Emerging exascale systems will contain billions of hardware components and complex software stacks. In addition, higher fabrication density and power challenges will further compound fault detection, management and recovery. Efficient fault tolerance and resiliency frameworks are thus of immense importance in the...
متن کاملPerformance at Exascale
Introduction Exascale systems will consist of complex configurations with a huge number of potentially heterogeneous components. Deep software hierarchies of large, complex software components will be required to make use of such systems. While the software layers are designed to be transparent, they are typically not transparent with respect to performance. This performance intransparency wil...
متن کاملAlgorithms and Scheduling Techniques for Exascale Systems
Exascale systems to be deployed in the near future will come with deep hierarchical parallelism, will exhibit various levels of heterogeneity, will be prone to frequent component failures, and will face tight power consumption constraints. The notion of application performance in these systems becomes multi-criteria, with fault-tolerance and power consumption metrics to be considered in additio...
متن کاملCharming Exascale Power Problems
Power, energy and reliability present major challenges to HPC researchers in their endeavor to build larger machines. As we approach the exascale era, both hardware and software designers need to account for these challenges while optimizing performance. The Parallel Programming Laboratory (PPL) at the University of Illinois at Urbana-Champaign (UIUC) has been actively working on meeting these ...
متن کاملDistributed Monitoring and Management of Exascale Systems in the Argo Project
New computing technologies are expected to change the highperformance computing landscape dramatically. Future exascale systems will comprise hundreds of thousands of compute nodes linked by complex networks—resources that need to be actively monitored and controlled, at a scale difficult to manage from a central point as in previous systems. In this context, we describe here on-going work in t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012