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

SCHEDULE: NOV 16-21, 2014

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.

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

SESSION: Numerical Kernels

EVENT TYPE: Papers

TIME: 10:30AM - 11:00AM

SESSION CHAIR: Kirk E. Jordan

AUTHOR(S):Joseph L. Greathouse, Mayank Daga

ROOM:391-92

ABSTRACT:

The performance of sparse matrix vector multiplication (SpMV) is important to computational scientists. Compressed sparse row (CSR) is the most frequently used format to store sparse matrices. However, CSR-based SpMV on graphics processing units (GPUs) has poor performance due to irregular memory access patterns, load imbalance, and reduced parallelism. This has led researchers to propose new storage formats. Unfortunately, dynamically transforming CSR into these formats has significant runtime and storage overheads.

We propose a novel algorithm, CSR-Adaptive, which keeps the CSR format intact and maps well to GPUs. Our implementation addresses the aforementioned challenges by (i) efficiently accessing DRAM by streaming data into the local scratchpad memory and (ii) dynamically assigning different numbers of rows to each parallel GPU compute unit. CSR-adaptive achieves an average speedup of 14.7x over existing CSR-based algorithms and 2.3x over clSpMV cocktail, which uses an assortment of matrix formats.

Chair/Author Details:

Kirk E. Jordan (Chair) - IBM Corporation

Joseph L. Greathouse - Advanced Micro Devices, Inc.

Mayank Daga - Advanced Micro Devices, Inc.

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


Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society