[Colloquium] Reminder: [masters-presentation] Santriaji/MS Presentation/Dec 2, 2019

[Margaret Jaffey]

This is a reminder about Muhammad Santriaji's MS Presentation, which
will be held on Monday after the Thanksgiving break.

------------------------------------------------------------------------------
Date:  Monday, December 2, 2019

Time:  1:30 PM

Place:  John Crerar Library 390

M.S. Candidate:  Muhammad Santriaji

M.S. Paper Title: Exploiting Thread Slack Time for Energy Saving in
GPU Applications with Hard Real Time Requirements

Abstract:
Correct functioning of embedded systems requires strict timing
guarantees. Traditionally, enforcing timing guarantees is the
operating system's responsibility. The OS scheduler assigns sufficient
resources to an application task to ensure it meets its deadline.
Meeting hard real-time deadlines requires the scheduler to be
conservative and allocate for the worst case timing; when behavior is
not worst case, extra resources are allocated and energy is wasted.
Some software schedulers reduce this energy waste by recognizing when
an application is ahead of a worst case schedule and reclaiming
unneeded resources, but they are fundamentally limited by (1) overhead
and (2) a lack of visibility into low-level resource usage. Therefore,
this thesis advocates hardware assistance for energy management of
hard real-time tasks. Specifically, we propose MERLOT, a
hardware-based resource manager for GPUs that enforces
software-specified timing guarantees with minimal energy. We implement
MERLOT in VHDL and find that its performance, power, and area
overheads are minuscule. We implement MERLOT in GPGPU-Sim to test
timing and energy consumption and compare to two software-only
approaches: one that always allocates for worst case timing and an
intelligent approach that reduces resource usage when it recognizes
better than worst case behavior. Compared to the approach that always
allocates for worst case, MERLOT reduces energy by 16.73% on average,
with 16.43 % in 1.5X and 17.03% in 2.0X WCET. Compared to the
intelligent software-only approach, MERLOT produces a 15.6% energy
savings. MERLOT uses less energy than software-only approaches because
it recognizes better than worst case behavior earlier, by monitoring
hardware events that are not visible to software and quickly adjusting
resource usage.

Muhammad's advisor is Prof. Henry Hoffmann

Login to the Computer Science Department website for details:
 https://newtraell.cs.uchicago.edu/phd/ms_announcements#santriaji

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Margaret P. Jaffey            margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (JCL 350)              (773) 702-6011
The University of Chicago      http://www.cs.uchicago.edu
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=