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The ECP SICM project: Managing complex memory hierarchies for exascale applications

Journal Article · · International Journal of High Performance Computing Applications
 [1];  [2];  [3];  [2];  [4];  [5];  [1];  [1];  [1];  [6];  [1];  [2];  [1];  [1];  [1];  [7]
  1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
  2. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  3. Arm, Ltd., Austin, TX (United States)
  4. Univ. of Tennessee, Knoxville, TN (United States)
  5. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  6. Intel Corp., Santa Clara, CA (United States)
  7. Automotive Professionals, Santa Fe, NM (United States)
+ Show Author Affiliations
The Exascale Computing Project (ECP)’s Simplified Interface to Complex Memories (SICM) effort focuses on developing universal interfaces for discovering, managing, and sharing data across complex memory hierarchies. These facilitate the exploitation of emerging memory technologies and support precise control over their various trade-offs such as high-bandwidth versus low-latency, persistent versus ephemeral, high-capacity versus low-capacity, and near-CPU versus near-GPU. SICM comprises three interrelated components: a low-level interface, a high-level interface, and a persistent-heap interface. The low-level SICM interface is intended for system and run-time developers as well as expert application developers who prefer full control of the memory objects used within their application. The high-level SICM interface builds upon the low-level interface, employing application-level profiling and analysis to optimize data management for complex memory hierarchies. The persistent-heap interface provides applications with a persistent memory allocator that can allocate custom C++ data structures in both block-storage and byte-addressable persistent memories.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2572132
Journal Information:
International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 1 Vol. 39; ISSN 1094-3420; ISSN 1741-2846
Publisher:
SAGECopyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING
data tiering
high-bandwidth memory
malloc
memory management
nonvolatile memory