{"id":182341,"date":"2008-09-04T00:00:00","date_gmt":"2009-10-31T09:34:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/warp-processing-dramatically-speeding-up-programs-by-dynamically-moving-them-to-fpgas\/"},"modified":"2016-09-09T09:48:38","modified_gmt":"2016-09-09T16:48:38","slug":"warp-processing-dramatically-speeding-up-programs-by-dynamically-moving-them-to-fpgas","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/warp-processing-dramatically-speeding-up-programs-by-dynamically-moving-them-to-fpgas\/","title":{"rendered":"Warp Processing \u2013 Dramatically Speeding up Programs by Dynamically Moving them to FPGAs"},"content":{"rendered":"
\n

In the amazing new world of billion-transistor chips, computers can
\nachieve a form of self-improvement scarcely imagined before.
\nSince 2002, UCR researchers have been developing a technology,
\nknown as “Warp Processing,” in which the execution of a program on
\na microprocessor is automatically replaced by execution on an FPGA,
\nusing a coprocessor circuit custom-designed on-the-fly for the
\nprogram’s specific needs, sometimes resulting in transparent performance
\nimprovement, or “warping.” That improvement isn’t just 20% or 30%,
\nbut is often 10x, 100x, or even 1000x. This talk will provide brief
\nbackground on FPGAs (Field Programmable Gate Arrays) and on partitioning
\nprograms among microprocessors and FPGAs, present the basics of warp
\nprocessing (“dynamic” partitioning), discuss its key underlying
\ntechnologies, highlight results showing huge speedups even compared to
\na hypothetical 32-core machine, and discuss ongoing research.<\/p>\n

During his visit to Microsoft, Prof. Vahid would also be interested in
\ntalking with Microsoft researchers interested in a different technology
\ndeveloped at UCR since the early 2000s and nearing commercialization.
\n“eBlocks” are matchbox-sized electronic blocks comprised of sensor blocks
\n(motion, light, sound, buttons, etc.) that output yes, no, or a number,
\nand compute blocks (combine, opposite, prolong, trip, add\/subtract, compare,
\netc.) that all can be connected like “Lego” blocks to form customized
\nsensing systems. Among other uses, such systems can be plugged into a
\nPC or home monitoring system to enable remote monitoring of aging
\nparents, kids, or others, either manually via the web or cell phone,
\nor via automated programs that detect anomalies and follow up with text
\nmessages or phone calls.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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