Processing Data Where It Makes Sense in Modern Computing Systems

Onur gave a keynote talk on “Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation” at the 29th ACM Great Lakes Symposium on VLSI in Washington.

Onur Mutlu,
“Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation”
Keynote Talk at 29th ACM Great Lakes Symposium on VLSI (GLSVLSI), Washington, DC, USA, May 2019.
[Slides (pptx)]
[Related Overview Paper]

Team Kassiopeia win at the GCSP Cyber 9/12 Strategy Challenge

Congratulations to Lara Lazier, a bachelor student in our group, and her Team Kassiopeia, who took home the prize for “Most Creative Policy Response Alternative” during this year’s Cyber 9/12 Strategy Challenge hosted by the Geneva Centre for Security Policy: www.gcsp.ch/cyber-912-strategy-challenge-2019

Read more: Team Kassiopeia wins “Most Creative Policy Response Alternative”, D-INFK

Congratulations Lara and Team Kassiopeia!

 

NAPEL: machine-learning-based prediction framework for NMC

Our new paper “NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning”, the first machine-learning-based prediction framework for Near-Memory Computing to be presented at the Design Automation Conference in June is now out:

Gagandeep Singh, Stefano Corda, Geraldo Francisco de Oliveira, Juan Gomez-Luna, Giovanni Mariani, Sander Stujik, Onur Mutlu, and Henk Corporaal, “NAPEL: Near-Memory Computing Application Performance Prediction via Ensemble Learning” Proceedings of the 56th Design Automation Conference (DAC), Las Vegas, NV, USA, June 2019.

We’ve also released Ramulator-PIM, a processing-in-memory simulation framework, used to develop NAPEL:
Source Code: https://github.com/CMU-SAFARI/ramulator-pim

Chai benchmarks for FPGA just released

We’ve just released the benchmarks for our recent paper: “Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA Architectures”,  in collaboration with Prof. Hwu’s IMPACT Research Group: impact.crhc.illinois.edu