abhi9u

9 ms·

91.
by abhi9u 3y ago
(Author of the article here) Thanks for writing this up, it's much much more intuitive than what I've read everywhere else. I primarily looked up Knuth (TAOCP Vol 1) for this part, and he showed a longish proof using generating fu
92.
by abhi9u 3y ago
Yes, that's a good point.
93.
15-850: Advanced Algorithms, Spring 2023 (CMU)(scs.hosted.panopto.com)
2 points by abhi9u 3y ago|0 comments
94.
How Rama is tested: a primer on testing distributed systems(blog.redplanetlabs.com)
1 points by abhi9u 3y ago|0 comments
95.
Handling a Regional Outage: Comparing the Response from AWS, Azure and GCP(newsletter.pragmaticengineer.com)
2 points by abhi9u 3y ago|0 comments
96.
Laying Siege to a Bug(registerspill.thorstenball.com)
7 points by abhi9u 3y ago|1 comments
97.
33 Miniatures: Mathematical and Algorithmic Applications of Linear Algebra [pdf](kam.mff.cuni.cz)
3 points by abhi9u 3y ago|0 comments
98.
Microsecond-Scale Tail Latency with Approximate Optimal Scheduling [pdf](dl.acm.org)
2 points by abhi9u 3y ago|0 comments
99.
A Little Triplet (2014)(perfdynamics.blogspot.com)
1 points by abhi9u 3y ago|0 comments
100.
Book: Quantitative System Performance (1984)(homes.cs.washington.edu)
2 points by abhi9u 3y ago|0 comments
101.
Introduction to Probability for Computing(cs.cmu.edu)
4 points by abhi9u 3y ago|0 comments
102.
by abhi9u 3y ago
Sorry, I was not aware of this rule. Although it was submitted by someone I don't know. But I won't do it again now that I know.
103.
by abhi9u 3y ago
Yes, that's a good feedback. Few other people also mentioned this. I was trying to save space, to spend time more on the "how things work" part. But I see your point that some motivation behind parallelization would make it a
104.
by abhi9u 3y ago
Thank you for reading! :)
105.
by abhi9u 3y ago
True. This is probably what first few lectures of a first course on GPU computing would cover. The nitty gritty of how to write parallel algorithms for maximum throughput on the GPU is where things become too specific. :)
106.
by abhi9u 3y ago
True. It's becoming a lost art. Although, I think anyone who takes a CS program probably learns enough about CPUs in a Computer Organization or Computer Architecture course. Even if they never have to use that knowledge ever again. :)
107.
by abhi9u 3y ago
Thank you :)
108.
by abhi9u 3y ago
Thank you for sharing!
109.
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
110.
Don't Worry, AI Cannot Takeover the World, It Will Run Out of Battery(notes.arkinfo.xyz)
1 points by abhi9u 3y ago|0 comments
111.
How Language Models Beat PNG and FLAC Compression and What It Means(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
112.
How Language Models Beat PNG and FLAC Compression and What It Means(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
113.
An Analysis of DeepMind's 'Language Modeling Is Compression' Paper(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
114.
by abhi9u 3y ago
Thank you for sharing this. I am the author, happy to answer any questions about the article.
115.
How to build a computer using origami(apieceofthepi.substack.com)
1 points by abhi9u 3y ago|0 comments
116.
How CPython Implements and Uses Bloom Filters for String Processing(codeconfessions.substack.com)
46 points by abhi9u 3y ago|0 comments
117.
Why and How Does Python Use Bloom Filters in String Processing?(codeconfessions.substack.com)
4 points by abhi9u 3y ago|0 comments
118.
Bloom Filters and Beyond: An Illustrated Introduction and Implementation(codeconfessions.substack.com)
5 points by abhi9u 3y ago|0 comments
119.
Bloom Filters and Beyond: An Illustrated Introduction and Implementation(codeconfessions.substack.com)
2 points by abhi9u 3y ago|0 comments
120.
Bloom Filters and Beyond: An Illustrated Introduction and Implementation(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments

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