57th DAC Best Paper/Presentation Nominations

Best paper candidates

COEXE: An Efficient Co-Execution Architecture for Real-Time Neural Network Services

FLOPS: Efficient On-Chip Learning for Optical Neural Networks Through Stochastic Zeroth-Order Optimization

ATUNs: Modular and Scalable Support for Atomic Operations in a Shared Memory Multiprocessor

TP-GNN: A Graph Neural Network Framework for Tier Partitioning in Monolithic 3D ICs

A Two-Way SRAM Array Based Accelerator for Deep Neural Network On-Chip Training

Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference




Best Paper Committee

Jason M. Fung

Jeronimo Castrillon

Jian-Jia Chen

Noel Menezes

Partha Pande

Preeti R. Panda

Rajiv Joshi

Seda Ogrenci Memik

Vijay Raghunathan

Yu Cao

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