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Massachusetts Institute of Technology

Execution model and optimizing compilation for execution migration

Abstract

dc:description.abstract

Although systems with hardware support for fine-grained execution migration are becoming a reality, no concrete execution model or compiler exist for these machines. This limits the complexity of software that can be written for these machines, and therefore also the scope of studies for which these machines can be used. In this thesis, we define a productive programming model for an execution migration platform by exposing migration as a set of interfaces usable with the C programming language via a custom optimizing compiler. We employ hardware-software co-design to describe a stack core architecture with support for partial context migration in order to simplify the compiler problem and improve compiler efficiency. We also consider instruction encoding in abstract terms to establish a baseline comparison of encoded instruction density to an ideal upper bound. The stack-based execution migration platform offers a new and unexplored cost model, which leads us to reevaluate the trade-offs associated with compilation for these architectures, and to explore novel algorithms, or novel applications of existing optimizations. Throughout this work, we attempt to gain a deep understanding of the costs and benefits of execution migration by aggressive design space exploration. We use the insight gained to better inform the the problem of compiling to this unorthodox architecture, and design the compiler, a library of optimized parallel primitives, and a set of compiler optimization passes to best reflect and utilize the underlying hardware.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lebedev, Ilia Andreevich
Advisor dc:contributor.advisor
  • Srinivas Devadas.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/84866
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/84866

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lebedev, Ilia Andreevich. Execution model and optimizing compilation for execution migration. Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84866