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Data Center Duel Deux -- Intel and Xilinx Take More Turf

by Kevin Morris, Mar. 28, 2017 – 

It's clear that programmable logic and FPGA technology will capture an increasing share of the value in conventional and cloud data-center deployments. While FPGAs have always been used in connectivity and storage, there is an ever-building push to have high-end FPGAs take over a crucial role in computation as well. FPGAs pack a potent combination of massive computational throughput, low latency, and power efficiency that is unmatched by any rival technology. With the huge growth of data-center demand fueled by IoT, continuing to power the cloud exclusively with conventional processors is just not feasible. Heterogeneous deployments of conventional processors and FPGAs working together have the potential to boost computational performance many times over and, more importantly, dramatically cut power consumption.

There is, however, a series of substantial obstacles to widespread use of FPGA technology in computing. The first of these is application development. Programming a heterogeneous processing system with FPGAs is extremely difficult and requires significant hardware design expertise in addition to traditional software skills. Both Xilinx and Intel (as well as a few third parties) are working hard to lower the bar on developing applications (and porting legacy applications) so that specialized FPGA expertise is not required - or is at least of minimum importance. This has put us in a "battle of the tools" situation that will be playing out for a long time to come.

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