3 papers
cs.LG2024
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference
Shashank Nag, Alan T. L. Bacellar, Zachary Susskind +9
Transformers are set to become ubiquitous with applications ranging from chatbots and educational assistants to visual recognition and remote sensing. However, their increasing com…
cs.AR2023
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation
Aman Arora, Jian Weng, Siyuan Ma +2
Bit-serial Processing-In-Memory (PIM) is an attractive paradigm for accelerator architectures, for parallel workloads such as Deep Learning (DL), because of its capability to achie…
cs.AR2023
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks
Zachary Susskind, Aman Arora, Igor D. S. Miranda +9
The deployment of AI models on low-power, real-time edge devices requires accelerators for which energy, latency, and area are all first-order concerns. There are many approaches t…