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Semiconductors at scale: New processor achieves remarkable speedup in problem solving

Semiconductors at scale: New processor achieves remarkable speedup in problem solving
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Taichi Megumi , Takayuki Kawahara , Tokyo University Of Science , Professor Takayuki Kawahara , Tokyo University , World Symposium , Applied Machine Intelligence , Large Scale Integration , Field Programmable Gate Arrays ,

Semiconductors at scale: New processor achieves remarkable speed-up in problem solving

Semiconductors at scale: New processor achieves remarkable speed-up in problem solving
sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.

Professortakayuki Kawahara , Tokyo University Of Science , Tokyo University , World Symposium , Applied Machine Intelligence , Large Scale Integration , Field Programmable Gate Arrays , Science Entrepreneurship Grant , Poc Support Grant , Tokyo Metropolitan Government ,

AMD has plans to support a little known chip for at least another 16 years — and no, it is neither a Ryzen, nor a Threadripper or an Epyc CPU

The new Spartan UltraScale+ will be supported well into the 2040s ....

Kirk Saban , Computing Group , Field Programmable Gate Arrays , Xilinx Spartan , Embedded Computing Group , Post Quantum Cryptography , Design Suite , Serve The Home ,

Electronics | Free Full-Text | MeMPA: A Memory Mapped M-SIMD Co-Processor to Cope with the Memory Wall Issue

The amazing development of transistor technology has been the main driving force behind modern electronics. Over time, this process has slowed down introducing performance bottlenecks in data-intensive applications. A main cause is the classical von Neumann architecture, which entails constant data exchanges between processing units and data memory, wasting time and power. As a possible alternative, the Beyond von Neumann approach is now rapidly spreading. Although architectures following this paradigm vary a lot in layout and functioning, they all share the same principle: bringing computing elements as near as possible to memory while inserting customized processing elements, able to elaborate more data. Thus, power and time are saved through parallel execution and usage of processing components with local memory elements, optimized for running data-intensive algorithms. Here, a new memory-mapped co-processor (MeMPA) is presented to boost systems performance. MeMPA relies on a progra ....

Neural Networks , Nangate Opencell Library , Central Processing Unit , Neumann Computing , In Memory Computing , Magnetic Tunnel Junctions , Phase Change Memories , Hybrid Memory Cubes , Through Silicon Vias , Single Instruction Multiple Data , Full Adder , Field Programmable Gate Arrays , Coarse Grained Reconfigurable Architectures , Configurable Logic Blocks , Look Up Tables , Reconfigurable Cells , Arithmetic Logic Unit , Memory Mapped Programmable Architecture , Memory Wall , Place Route , Instruction Set Architecture , Neumann Bottleneck , Processing Matrix , Control Unit , Smart Blocks , Smart Block ,