LaughingCrow
Well-known member
Can imagine that there might be some companies that wouldn't want this to affect their hardware sales...
In their paper, Tseng and UCR computer science graduate student Kuan-Chieh Hsu introduce what they call “simultaneous and heterogeneous multithreading” or SHMT. They describe their development of a proposed SHMT framework on an embedded system platform that simultaneously uses a multi-core ARM processor, an NVIDIA GPU, and a Tensor Processing Unit hardware accelerator.
The system achieved a 1.96 times speedup and a 51% reduction in energy consumption.
In their paper, Tseng and UCR computer science graduate student Kuan-Chieh Hsu introduce what they call “simultaneous and heterogeneous multithreading” or SHMT. They describe their development of a proposed SHMT framework on an embedded system platform that simultaneously uses a multi-core ARM processor, an NVIDIA GPU, and a Tensor Processing Unit hardware accelerator.
The system achieved a 1.96 times speedup and a 51% reduction in energy consumption.
Method identified to double computer processing speeds
UCR computer scientists identify method identified to double computer processing speed using existing hardware
news.ucr.edu