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Ultimately there is only so far you can scale a singular vector processor, of course, while parallel computing promised much better scaling, as well as the use of commodity hardware.
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Tech Xplore on MSNA sort-in-memory hardware system eliminates need for comparators in nonlinear sorting tasksA research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...
NEC on Wednesday announced a new high-performance computer system, the SX-8, the latest incarnation of the high-end but relatively rare "vector" computer breed.
“Conventional resistive crossbar array for in-memory computing suffers from high static current/power, serious IR drop, and sneak paths. In contrast, the “capacitive” crossbar array that harnesses ...
As 3D accelerator cards (colloquially called graphics processing units, or GPUs) became prevalent, they took over almost all SIMD vector tasks, but one thing that they’re not good at is being a ...
Finnish startup Flow Computing has emerged from stealth mode, having raised €4 million ($4.3m) in pre-seed funding. The round was led by Nordic venture capitalist firm Butterfly Ventures, with ...
This new optical PLA uses parallel spectrum modulation to achieve an 8-input system, significantly expanding the capabilities of optical logic operations.
Flow Computing is emerging from stealth with a funding round of $4.3 million and a goal of boosting CPU performance 100X.
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