ACM Sigarch
APRIL 8, 2019
Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. For those of us who pursued computer architecture as a career, this is well understood. In most curriculums, undergrad students do not have much exposure to computer architecture. Why is that? Lack of Exposure.
ACM Sigarch
FEBRUARY 23, 2018
I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. Both virtualization and power burst onto the architecture community seemingly out of nowhere even though there was a clear historical basis and trend for both. We believed existing hardware and OS protocols protected the processor.
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DZone
FEBRUARY 27, 2021
As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.
The Morning Paper
NOVEMBER 10, 2019
It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. But wow, I didn’t think we’d be at the point yet where we’d be abandoning TCP/IP!
The Morning Paper
FEBRUARY 18, 2020
Many of the software engineering discipline and controls need to be brought over into an ML context. Inference (scoring) engines will be deployed everywhere, and ML scoring will be deeply integrated into the DBMS "as a foundational extension of relational algebra, and an integral part of SQL query optimizers and runtimes."
Testsigma
FEBRUARY 12, 2021
Just a manual testing approach would not suffice for today’s wired devices and dynamic architectural applications of Industry 4.0. The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time.
All Things Distributed
SEPTEMBER 4, 2017
This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. For the past 20 years, thousands of software engineers at Amazon have been working on ML.
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