Optimizing Local Memory Allocation and Assignment Through a Decoupled Approach - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2009

Optimizing Local Memory Allocation and Assignment Through a Decoupled Approach

Abstract

Software-controlled local memories (LMs) are widely used to provide fast, scalable, power efficient and predictable access to critical data. While many studies addressed LM management, keeping hot data in the LM continues to cause major headache. This paper revisits LM management of arrays in light of recent progresses in register allocation, supporting multiple live-range splitting schemes through a generic integer linear program. These schemes differ in the grain of decision points. The model can also be extended to address fragmentation, assigning live ranges to precise offsets. We show that the links between LM management and register allocation have been underexploited, leaving much fundamental questions open and effective applications to be explored.
Fichier principal
Vignette du fichier
paper.pdf (125.42 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00645302 , version 1 (27-11-2011)

Identifiers

  • HAL Id : hal-00645302 , version 1

Cite

Boubacar Diouf, Özcan Özturk, Albert Cohen. Optimizing Local Memory Allocation and Assignment Through a Decoupled Approach. The 23rd International Workshop on Languages and Compilers for Parallel Computing, Oct 2009, Newark, Delaware, United States. ⟨hal-00645302⟩
221 View
179 Download

Share

Gmail Facebook Twitter LinkedIn More