Blog Archives

Magnus Snorrason, Computer Vision Expert, Smart Systems Consulting

“Andreas and his team have managed a rather fantastic feat: to develop a genuinely useful microprocessor with many task-parallel cores, operating within the power-budget of smart-phones and embedded devices. Accomplishing all this with a team of only a few full-time

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Bertil Svensson, Professor and Director of CERES, Halmstad University

“Massive parallelism is the only way to meet both the computing performance demands and the power limitations in future, advanced embedded signal processing applications. Processor architectures need to be built on simple, scalable principles. Powerful processors and straightforward means for

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John Barr, Industry Analyst

“The future of HPC (and probably all computing) is both many core and heterogeneous. Trying to get there by adapting today’s commodity processors and GPUs has the benefit of better support for legacy applications, but at some stage this approach

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David Richie, CEO, Brown Deer Technology

“Adapteva has delivered an architecture that supports massive on-chip parallelism with impressive power efficiency.  OpenCL provides the perfect foundation for such a processor. We leveraged this API in an SDK that provides programmers with a clear path for code development. 

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Mike Noonen, Executive VP of Worldwide Marketing, GLOBALFOUNDRIES

“We firmly believe in early engagement to enable our customers to deliver innovative products with industry-leading performance and energy-efficiency. Our close collaboration with Adapteva is helping them bring a whole new class of multicore microprocessors to market on the foundry

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Jeremy Bennett, CEO, Embecosm

“Adapteva’s Epiphany processor demonstrates how a small number of well designed instructions can work efficiently with GCC, making it the next generation of RISC architecture. The Epiphany architecture clearly shows that it’s possible to get outstanding compiler performance without a

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Mikael Taveniku, CEO Xcube

“High performance embedded computing is naturally split into high throughput front end processing tasks and high complexity back end processing tasks.  FPGAs are great at front end bit shuffling type operations but have proven challenging to use for high complexity

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Massimiliano Versace, Director of Neuromorphics Lab, Boston University

“It turns out that the architecture Adapteva is working on seems to be very compatible with the demands of neuromorphic algorithms. If you remember the December 2010 IEEE Spectrum article, it’s a very similar architecture to what we describe in

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Linley Gwennap, Principal Analyst and Founder The Linley Group

“Visual computing can enable gesture-based gaming, advanced user interfaces, augmented reality, and even improved health and safety. Visual processing, however, requires many more flops than voice processing. Adapteva’s architecture can deliver the performance required for visual computing.”  

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Jeff Milrod, CEO BittWare

“It seems like our industry has not demonstrated much creativity in the past few years, and processing improvements have only come at the expense of increasingly ridiculous power consumption, which has in turn created burdensome cooling problems.  We believe that

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