sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
FacebookTwitterGoogle PlusLinkedInYouTubeFlickr

SCHEDULE: NOV 15-20, 2015

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

LIBXSMM: A High Performance Library for Small Matrix Multiplications

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Alexander Heinecke, Hans Pabst, Greg Henry

ROOM:Level 4 - Lobby


In this work we present a library, LIBXSMM, that provides a high performance
implementation of small sparse and dense matrix multiplications on latest Intel architectures. Such operations are important
building blocks in modern scientific applications and general math libraries are normally tuned for all dimensions
being large. LIBXSMM follows a matrix multiplication code generation approach specifically matching the applications' needs. By
providing several interfaces, the replacement of BLAS calls is simple and straightforward.
We show that depending on the application's
characteristics, LIBXSMM can either leverage the entire DRAM bandwidth or reaches close to the processor's
computational peak performance.
Our performance results of CP2K and SeisSol
therefore demonstrate that using LIBXSMM as a highly-efficient computational
backend, leads to speed-ups of greater than two compared to compiler
generated inlined code or calling highly-optimized vendor math libraries.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Alexander Heinecke - Intel Corporation

Hans Pabst - Intel Corporation

Greg Henry - Intel Corporation

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar