Data flow algorithms for processors with vector extensions: Handling actors with internal state
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 20-24 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479970889 |
| DOIs | |
| Publication status | Published - 5 Feb 2014 |
| Publication type | A4 Article in a conference publication |
| Event | 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States Duration: 3 Dec 2014 → 5 Dec 2014 |
Conference
| Conference | 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 |
|---|---|
| Country | United States |
| City | Atlanta |
| Period | 3/12/14 → 5/12/14 |
Abstract
Full use of the parallel computation capabilities of present and expected CPUs and CPUs require use of vector extensions. Yet many actors in data flow systems for digital signal processing have internal state (or, equivalently, an edge that loops from the actor back to itself) that impose serial dependencies between actor invocations that make vectorizing across actor invocations impossible. Ideally, issues of inter-thread coordination required by serial data dependencies should be handled by code written by parallel programming experts that is separate from code specifying signal processing operations. The purpose of this paper is to present one approach for so doing in the case of actors that maintain state. We propose a methodology for using the parallel scan (also known as prefix sum) pattern to create algorithms for multiple simultaneous invocations of such an actor that results in vectorizable code. Two examples of applying this methodology are given: (1) infinite impulse response filters and (2) finite state machines. The correctness and performance of the resulting IIR filters are studied.
ASJC Scopus subject areas
Keywords
- Data flow computing, Digital signal processing, Parallel algorithms, Vector processors