[The Maxeler website seems almost entirely devoid of any technical info. --gnu] Stanford EE Computer Systems Colloquium 4:15PM, Wednesday, May 13, 2009 HP Auditorium, Gates Computer Science Building B01 http://ee380.stanford.edu Topic: Accelerating computation with FPGAs with a seismic computation example Speaker: Michael Flynn Maxeler Technologies (and Stanford) About the talk: For many high performance applications the alternative to the multicore rack is to use an accelerator assist to each multicore node. There are a number of instances of these accelerators: GPGPU, Specialized processors (E.G.IBM's Cell) and FPGAs. At Maxeler we've found that the FPGA array technology wins out on performance for most relevant applications. Given the initial area-time-power disadvantage of the FPGA in (say) a custom designed adder this is a surprising result. The sheer magnitude of the available FPGA parallelism overcomes the initial disadvantage. Using Maxeler's FPGA compiler toolkit, it is now feasible to transform a software application into a data flow graph mapped to an "unconstrained" systolic array. The array structure can be matched to the applications structure and is not constrained to nearest neighbor communications as the FPGA provides a generalized interconnect. As an example we consider modeling problems in seismic data processing. In a typical problem we realize a 2000 node systolic array on 2 FPGA's, each node performing an operation each 4 ns. About the speaker: Michael Flynn is now Professor Emeritus of EE at Stanford. He directed the Architecture and Arithmetic group in CSL for many years. He is now Senior Adviser and Board Chairman at Maxeler. Contact information: Michael J Flynn email@example.com Embedded Links: [ 1 ] http://ee380.stanford.edu [ 2 ] mailto:firstname.lastname@example.org ABOUT THE COLLOQUIUM: See the Colloquium website, http://ee380.stanford.edu, for scheduled speakers, FAQ, and additional information. Stanford and SCPD students can enroll in EE380 for one unit of credit. Anyone is welcome to attend; talks are webcast live and archived for on-demand viewing over the web.
on 2009-05-08 04:45
on 2009-05-08 05:38
John Gilmore wrote: > Speaker: Michael Flynn > performance for most relevant applications. Given the initial > area-time-power disadvantage of the FPGA in (say) a custom > designed adder this is a surprising result. The sheer magnitude > of the available FPGA parallelism overcomes the initial > disadvantage. > > I'll have to check out the archived version of this after it happens. I'm a bit of a fence-sitter on using FPGAs for SDR. At what point does it become Hardware Defined Radio again? But I suppose that with a good compiler, and FPGAs that can be re-programmed a large number of times, it counts as SDR :-) I'd love to be able to compute wide-band total-power and *insanely-huge* FFTs as fast as the A/Ds will go. That isn't going to happen with a garden-variety compute platform in the next four years. But a parallelized FFT inside an FPGA(s) or a GPGPU could likely tackle this without breaking into a sweat.... -- Marcus Leech Principal Investigator, Shirleys Bay Radio Astronomy Consortium http://www.sbrac.org