3 ms·

I attended this db seminar at Berkeley earlier today… Helena Caminal (Google) – “Vector architectures for data-parallel workloads” https://sky.cs.berkeley.edu/

by meling 3y ago

I attended this db seminar at Berkeley earlier today… Helena Caminal (Google) – “Vector architectures for data-parallel workloads” https://sky.cs.berkeley.edu/events/database-seminar-helena-caminal-google-vector-architectures-for-data-parallel-workloads/ https://sky.cs.berkeley.edu/events/database-seminar-helena-c... Very interesting work about associative processing: “The Associative Processing (AP) paradigm leverages content-addressable memories to realize bit-serial arithmetic and logic operations, via sequences of search and update memory operations over multiple memory rows in parallel.”

diimdeep 3y ago
Interesting, I have seen claim by Adobe senior principal scientist, from 2012[1] and then 10 years later in 2022[2] that if you are writing single threaded scaler code in vanilla C++ you can only get up to 0.25% of maximum GFLOPS of typical machine. Looks like in 10 years nothing really changed. In my understanding this is real problem that needs to be immediately solved, not just for C++ but any other language. [1] Sean Parent: "Now What? A vignette in three parts" https://www.youtube.com/watch?v=iGenpw2NeKQ&t=1382s https://www.youtube.com/watch?v=iGenpw2NeKQ&t=1382s [2] Keynote: The Tragedy of C++, Acts One & Two - Sean Parent - CppNorth 2022 https://youtu.be/kZCPURMH744?t=2924 https://youtu.be/kZCPURMH744?t=2924