Paper Info
Title
Crystal: A Design-Time Resource Partitioning Method for Hybrid Main Memory
Abstract
Non-Volatile Memory (NVM) technologies can be used to reduce system-level execution time, energy, or cost but they add a new design dimension. Finding the best amounts of DRAM and NVM in hybrid main memory systems is a nontrivial design-time issue, the best solution to which depends on many factors. Such resource partitioning between DRAM and NVM can be framed as an optimization problem where the minimum of a target metric is sought, trends matter more than absolute values, and thus the precision of detailed modeling is overkill. Here we present Crystal, an analytic approach to early and rapid design-time resource partitioning of hybrid main memories. Crystal provides first-order estimates of system-level execution time and energy, sufficient to enable exhaustive search of the best amount and type of NVM for given workloads and partitioning goals. Crystal thus helps system designers to quickly find the most promising hybrid configurations for detailed evaluation. E.g., Crystal shows how for specific workloads higher system-level performance and energy efficiency can be achieved by employing an NVM with the speed and energy consumption of NAND Flash instead of a much faster and more energy efficient NVM like phase-change memory.
Year
DOI
Venue
2014
10.1109/ICPP.2014.18
Parallel Processing
Keywords
Field
DocType
DRAM chips,flash memories,optimisation,Crystal,DRAM,NAND Flash,NVM technology,design-time resource partitioning method,energy consumption,energy efficiency,hybrid main memory system,nonvolatile memory,optimization problem
Registered memory,Interleaved memory,Non-volatile random-access memory,Computer science,Efficient energy use,Parallel computing,Universal memory,Non-volatile memory,Computer memory,Energy consumption
Conference
ISSN
Citations 
PageRank 
0190-3918
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Dmitry Knyaginin101.35
Georgi Gaydadjiev271.58
Per Stenström33048234.09