SEE LAB

We live in a world where technological advances are continually creating more data than what we can cope with. With the emergence of the Internet of Things, sensory and embedded devices will generate massive data streams demanding services that pose huge technical challenges due to limited device resources. Even with the evolution of processor technology to serve computationally complex tasks in a more efficient way, data movement costs between processor and memory are the major bottleneck in the performance of most applications. We seek to perform hardware/software co-design of novel hybrid processing in-memory platforms that accelerate fundamental operations and diverse data analytic procedures using processing in-memory technology (PIM). PIM enables in-situ operations, thereby reducing the effective memory bandwidth utilization. In the hardware layer, the proposed platform has a hybrid structure comprising of two units: PIM-enabled processors and PIM-based accelerators. The PIM-..

Primary location: La Jolla United States