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


  • Jason M. Fung
  • Jeronimo Castrillon
  • Jian-Jia Chen
  • Noel Menezes
  • Partha Pande
  • Preeti R. Panda
  • Rajiv Joshi
  • Seda Ogrenci Memik
  • Vijay Raghunathan
  • Yu Cao