Towards Energy-Efficient Domain-Specific In-Sensor and In-Memory Accelerators, From Device to Algorithm

Internet of Things (IoT) devices are projected to attain an $1100B market by 2025, with a web of interconnection projected to comprise approximately 75+ billion IoT devices. The large number of IoTs consist of sensory systems that enable massive data collection from the environment and people. However, considerable portions of the captured sensory data are redundant and unstructured. Data conversion of such large raw data, storing in volatile memories, transmission, and computation in on-/off-chip processors, impose high energy consumption, latency, and a memory bottleneck at the edge. Moreover, because renewing batteries for IoT devices is very costly and sometimes impracticable, energy harvesting devices with ambient energy sources and low maintenance have impacted a wide range of IoT applications such as wearable devices, smart cities, and the intelligent industry. Therefore, high-speed, low-power and normally-off computing domain-specific architectures should be explored and developed to overcome these issues. Motivated by the aforementioned concerns, in this talk, I will be focusing on cross-layer (device/circuit/architecture/application) co-design of energy-efficient and high-performance processing- in-sensor and processing- in-memory platforms for implementing complex AI and machine learning tasks, bioinformatics tasks, graph processing, etc. I explain how to leverage innovations from both device to architecture to integrate sensor, memory, and logic to break the existing memory and power walls.

Co-sponsored by: IEEE North Jersey Section

Speaker(s): Prof. Shaahin Angizi,

Agenda:
Event Time: 6:00PM to 7:30 PM

Venue: Kiernan Conference Room (ECE 202), ECEC, NJIT, Newark

Talk by Prof. Shaahin Angizi

Seminar in ECE 202 All Welcome: There is no fee/charge for attending IEEE technical seminar. You don’t have to be an IEEE Member to attend. Refreshment is free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Lecture.

Room: 202, Bldg: ECEC, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102