47 citations · 157 across the 23 of their papers we have counts for
7 papers · 1 filter
Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC
Anup Das
Neuromorphic Systems-on-Chip (NSoCs) are becoming heterogeneous by integrating general-purpose processors (GPPs) and neural processing units (NPUs) on the same SoC. For embedded sy…
Special Session: Reliability Analysis for ML/AI Hardware
Shamik Kundu, Kanad Basu, Mehdi Sadi +4
Artificial intelligence (AI) and Machine Learning (ML) are becoming pervasive in today's applications, such as autonomous vehicles, healthcare, aerospace, cybersecurity, and many c…
Aging-Aware Request Scheduling for Non-Volatile Main Memory
Shihao Song, Anup Das, Onur Mutlu +1
Modern computing systems are embracing non-volatile memory (NVM) to implement high-capacity and low-cost main memory. Elevated operating voltages of NVM accelerate the aging of CMO…
Design Methodologies for Reliable and Energy-efficient PCM Systems
Shihao Song, Anup Das
Phase-change memory (PCM) is a scalable and low latency non-volatile memory (NVM) technology that has been proposed to serve as storage class memory (SCM), providing low access lat…
Improving Phase Change Memory Performance with Data Content Aware Access
Shihao Song, Anup Das, Onur Mutlu +1
A prominent characteristic of write operation in Phase-Change Memory (PCM) is that its latency and energy are sensitive to the data to be written as well as the content that is ove…
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories
Shihao Song, Anup Das, Nagarajan Kandasamy
Modern computing systems are embracing hybrid memory comprising of DRAM and non-volatile memory (NVM) to combine the best properties of both memory technologies, achieving low late…