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...
Embench™: Recruiting for the Long Overdue and Deserved Demise of Dhrystone as a Benchmark for Embedded Computing
I. Why a New Embedded Benchmark The world will soon be deluged by tens of billions or even hundreds of billions of Internet of Things (IoT) devices, but we still don’t have a high quality, widely reported benchmark to fairly evaluate the embedded computers that power...
To Graduate Students and Assistant Professors in Computer Architecture
We would find it unacceptable for grading in a college-level course to be done by multiple TAs without any rubric or common guidelines. Why is it acceptable for our career-affecting review process?
Hardware Acceleration Opportunities for Machine Learning on Massive Datasets
Data management research has recently been paying more attention on how to run machine learning algorithms efficiently on massive datasets. This blog post focuses on three recent research papers that identify time-consuming data processing operations in machine...
Greater Quantum Efficiency by Breaking Abstractions
Practical quantum computation may be achievable in the next few years, but applications will need to be error tolerant and make the best use of a relatively small number of quantum bits and operations. Compilation tools will play a critical role in achieving these...
ASPLOS 2019 Summary
Researchers in programming languages, operating systems, and computer architecture converged on Providence, RI this April for the 24th edition of ASPLOS. This year’s ASPLOS showed the strength of computer systems research in many areas, from cloud computing to...
A Case for the Scope of Reconfigurable Transistors in Computer Architecture
Reconfigurable field effect transistors (RFET) is expected to offer a lower transistor count and decreased area consumption compared to conventional CMOS. While the semiconductor industry is moving towards sub-10nm transistor technologies, silicon nanowires are...
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,...
Research: To Boldly Go Where No One Has Gone Before
The basic premise of research is to do something new — to boldly go where no one has gone before. This is a daunting task, especially for those who are just entering graduate school and are new to research. How exactly does one come up with these cool ideas? How...Subscribe
