How to Have Real-World Impact: Five Easy Pieces
Five easy pieces of advice to getting your work to have real-world impact: not guaranteed to get your work adopted, but will definitely increase the odds of luck being on your side.
Archive of posts tagged: Systems
Sure, We Have Systems For ML But How About ML For Systems?
The past few years have seen an unprecedented increase in the number of systems targeting machine learning (ML) applications and deep learning in particular (Jeff Dean has compiled a telling graph on the exponentially increasing number of ML papers). From hardware...
Academics Should Build Their Own Computers to Advance Systems Research
This is a time of great interest in new hardware. Computers are becoming much more complex. The multicore era has given way to increasingly heterogeneous computing platforms. Modern SoCs contain a tremendous variety of processors, accelerators, and peripheral devices,...
In-Network Computing
Introduction In-network computing is a new research area that has emerged over the last few years. In-network computing, also known as In-network computation or NetCompute, refers to the execution of programs typically running on end-hosts within network devices....
A Brief Guide of xPU for AI Accelerators
In the workshop on Inter-Disciplinary Research Challenges in Computer Systems (Grand Challenges) co-located with ASPLOS 2018, Dr. Hillery Hunter from IBM and I co-organized a panel discussion on “Augmenting Human Abilities/AI”. During the discussion,...Subscribe
