There are two avenues for many-core machines to gain higher performance: increasing the number of processors, and increasing the number of vector units in one SIMD processor. A tru...
Xiaohuang Huang, Christopher I. Rodrigues, Stephen...
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
As the number of cores and threads in manycore compute accelerators such as Graphics Processing Units (GPU) increases, so does the importance of on-chip interconnection network des...
We want to design a suitable computer for the efficient execution of the software now being developed that will display human-like cognitive abilities. Examples of these potential...