54 citations · 173 across the 13 of their papers we have counts for
3 papers · 1 filter
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud
Geraldo F. Oliveira, Juan Gómez-Luna, Saugata Ghose +2
Neural networks (NNs) are growing in importance and complexity. A neural network's performance (and energy efficiency) can be bound either by computation or memory resources. The p…
Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases
Geraldo F. Oliveira, Amirali Boroumand, Saugata Ghose +2
Today's computing systems require moving data back-and-forth between computing resources (e.g., CPUs, GPUs, accelerators) and off-chip main memory so that computation can take plac…
Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Cooperation
Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira +1
A growth in data volume, combined with increasing demand for real-time analysis (using the most recent data), has resulted in the emergence of database systems that concurrently su…