Name: Algorithms and parallel computing
ISBN: 9780470932025

Algorithms and parallel computing

"There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application"--Provided by publisher. "This book provides the techniques to explore the possible ways to program a parallel computer for a given application"--Provided by publisher.

What Hacker News says

cromkaJun 2024

I did quite a lot of CUDA, algorithms, and parallel computing in general during my university time. I wrote my Master’s thesis on GPGPU. This was before it was applied to crypto mining or AI. I was supposed to stay at the Uni and do PhD in GPGPU, but eventually accepted a much better paid entry-level job at a company and, subsequently, I haven’t touched low-level programming since graduating and moving on to coding in Java/.Net/SQL, etc.

Over a decade has passed and you can imagine the level of my 20/20 FOMO frustration for not having carried on with the more advanced engineering stuff.

So my questions is: what resources and what direction would you recommend for someone like myself to narrow that gap of 10 years, such that I could hopefully apply for an interesting job in the field sometime 12 months from now? I am absolutely aware it would take a lot of studying, especially on AI/ML maths and algorithms.

Perhaps someone has already been in a similar situation and can share their experience?

I will much appreciate any input here!

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dragontamerSep 2020

"Algorithms and Parallel Computing" by Fayez Gebali covers the parallelization of IIR filters in chapter 12. This is going to be a field that I need to study for a few days, or weeks before I'm really comfortable discussing results.

I will say that I thank you for submitting this to the discussion on Hacker News. It didn't get a lot of upvotes, but I'm still intrigued by this problem.

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