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Computing is at a momentous point today as AI and big data drive massive demand for computational hardware, while historic Moore's law performance scaling is slowing down. In this talk, I will outline a framework that combines the energy/dimension scaling (Moore’s law), computer error rates (Shannon computing) and modern AI architectures (drawing mainly from Nature Physics 14, no. 4 (2018): 338) , https://www.nature.com/articles/s41567-018-0101-4).
A room-temperature quantum materials path to next-generation computing: Next, I describe a quantum and memory materials-centric approach to enable the computing for beyond the CMOS era. I will outline a number of pathways for computing devices that utilize quantum materials. I will generalize the search for the next computing device with a comprehensive list of quantum materials classes.
An architectural path to next-generation computing: We also identify activity factor (i.e utilization of logic), memory BW wall (Turing wall) and thermal extraction as the near term limiting factors for computing. Finally, I describe potential ways to build generalized intelligence hardware overcoming interconnect, memory and compute bottlenecks.
The talk is an overview of the potential solution space that uses a full-stack approach (Materials, devices, circuits, and architecture) to scale computing.
Dr. Sasikanth Manipatruni is the Chief Technology Officer at Kepler Computing. Prior to this he is the founding research director of Intel-FEINMAN center (Functional Electronics Integration and Manufacturing), to build the next room temperature transistor with quantum materials. He received PhD from Cornell working with Prof. Michal Lipson in silicon photonics where he demonstrated ultra-fast silicon electro-optic switches, opto-mechanical non-reciprocity and synchronization of opto- mechanical systems. At Intel, he developed materials & devices for beyond CMOS memory/logic and built 1st industrially adopted spintronic/quantum SPICE tool. He was awarded the US-National Academy of Engineering recognition for young engineers 2019, IEEE/ACM under 40 innovator award at DAC'17, Mahboob Khan outstanding liaison award '16, CSPIN outstanding industry liaison award '16, and serves on several industry panels for US-wide research selections. His work is cited ~4000 times & holds ~ 200 granted/applied patents in spin/photonics/MEMS/CAD/AI/QC. He coaches school students for USA-PHO physics Olympiads.
