Archive of posts tagged: Accelerators
Academics Should Build Their Own Computers to Advance Systems Research
This is a time of great interest in new hardware. Computers are becoming much more complex. The multicore era has given way to increasingly heterogeneous computing platforms. Modern SoCs contain a tremendous variety of processors, accelerators, and peripheral devices,...
In-Network Computing
Introduction In-network computing is a new research area that has emerged over the last few years. In-network computing, also known as In-network computation or NetCompute, refers to the execution of programs typically running on end-hosts within network devices....
Hitting an Accelerator Wall: When Specialized Chips Meet the End of Moore’s Law
Background These are exciting and challenging times for computer architects. The looming end of Moore’s law and the breakdown of Dennard scaling force everybody to put on their thinking caps and envision what future processors will look like when transistors...
Why the GPGPU is Less Efficient than the TPU for DNNs
The GPGPU’s massive multithreading is unnecessary for DNNs, and imposes performance, area, and energy overheads. By avoiding such multithreading, the TPU is more efficient.
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