johnnysswlab.com @johnnysswlab
We help development teams speed up their C/C++ software. Performance-related blog: https://t.co/FqGMpbEH2w Direct help: https://t.co/3Dn3HMlgqM johnysswlab.com Belgrade, Serbia Joined May 2020-
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We investigate explicit software prefetching, a mechanism software developers can use to prefetch the data in advance so it is ready once the program needs it. johnnysswlab.com/the-pros-and-c…
A story of a very large loop with a long instruction dependency chain! johnnysswlab.com/a-story-of-a-v…
How to avoid register spilling in vectorized code with many constants? johnnysswlab.com/on-avoiding-re…
We investigate the unusual way memory subsystem interacts with branch prediction and how this interaction shapes software performance. johnnysswlab.com/unexpected-way…
We investigate how the memory subsystem behaves in an environment where several threads compete for memory subsystem resources and cover techniques used to improve the performance of multithreaded codes. johnnysswlab.com/multithreading…
We reached 1000 followers! Thanks everyone for your support and stay tuned for more content about software performance!
In this post we explore how to speed up our memory intensive programs by decreasing the number of TLB cache misses. johnnysswlab.com/speeding-up-tr…
Faster hash maps, binary trees etc. through data layout modification We investigate how to make faster hash maps, trees, linked lists and vector of pointers by changing their data layout. johnnysswlab.com/faster-hash-ma…
In this post we investigate how we can improve the performance of our memory-intensive codes through changing the memory layout of our performance-critical data structures. johnnysswlab.com/performance-th…
We introduce a few most common tools used for memory subsystem performance debugging. johnnysswlab.com/measuring-memo…
We investigate techniques for hiding memory latency on in-order CPU cores. The same techniques that the compilers employ. johnnysswlab.com/hiding-memory-…
We investigate the secret connection between class layout and software performance. And of course, how to make your software faster. johnnysswlab.com/software-perfo…
A short tale of how horrible code yields clean performance. johnnysswlab.com/horrible-code-…
Next week I will be in Zurich on Monday, Nuremberg on Tuesday and Munich on Wednesday. I will be giving a talk "Introduction to hardware efficiency" for local meetups and Embedded world. To anyone interested in software performance, feel free to reach out.
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HPC Guru (Taking a br.. @HPC_Guru
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Jonathan Boccara @JoBoccara
7K Followers 324 Following Developer, author, keynoter, blogger, speaker, passionate about expressive code. Architect @doctolib. We are hiring https://t.co/vqMYJDhv0AWatch out for critical data flow dependencies in your code, folks. They will become even more important for performance in the future!
A story of a very large loop with a long instruction dependency chain! johnnysswlab.com/a-story-of-a-v…
Measuring energy usage: regular code vs. SIMD code Modern processor have fancy instructions that can do many operations at one using wide registers: SIMD instructions. Intel and AMD have 512-bit registers and associated instructions under AVX-512. You expect these instructions…
@i_bogosavljevic Our best attempt so far, soa_vector: jfalcou.github.io/eve/structeve_… Without reflection/injection it's clumsy, but we have plans for some EVE_STRUCT macro to improve the situation github.com/jfalcou/eve/bl…
Mastering data layout is the key to great performance. Pretty much the only thing I focus about when optimizing code.
Faster hash maps, binary trees etc. through data layout modification We investigate how to make faster hash maps, trees, linked lists and vector of pointers by changing their data layout. johnnysswlab.com/faster-hash-ma…
nice tricks .. make trees shallower is one advice I saw earlier as well. Reminds me of the old adage - if u have to fall from a tree, ensure it's van Emde Boas :-) also regarding shallow trees, HAMT uses the same trick of making trees shallow.
Faster hash maps, binary trees etc. through data layout modification We investigate how to make faster hash maps, trees, linked lists and vector of pointers by changing their data layout. johnnysswlab.com/faster-hash-ma…
@johnnysswlab great stuff! I always like your diagrams and clear explanations. 14sec vs 0.221sec is quite a difference
Check out yesterday's issue of the newsletter for some super stellar stuff! Thanks to @johnnysswlab and @BillDemirkapi for the great articles! Also big thanks to @ProgressSW for sponsoring the issue! abyteofcoding.com/issues/a-byte-… #infosec #cplusplus #postgresql #csharp
C++20 - The Complete Guide (cppstd20.com) now describes coroutines completely. That chapter alone has 80 pages now. Yes, coroutines are that complex and powerful. The whole book has 600 pages. Still more to come (but I see the finish line). Enjoy
RT @johnysswlab Read more on how to make accesses to random data structures faster in the post: johnysswlab.com/use-explicit-d… #data #coding #tech
C++ programmers: we should move to Rust, it's safer and prevents errors at compile time! Also C++ programmers: I cannot enable -Werror -Wextra, I don't want the compiler telling me what to do!
Hey, I wrote a new blog post about visualizing performance-critical dependency chains: easyperf.net/blog/2022/05/1… Highlights: 🧵
RT @johnysswlab Read more about if and when you should worry early about software performance in the blog post: johnysswlab.com/what-are-prema… #tech #dev #software #business #computing
a refresher on avoiding copies in C++
Read more about the ways to avoid excessive copying in C++ in the blog post: johnysswlab.com/excessive-copy…
We discussed compiler optimizations in Chap.3 (C++) of the book! #cpp #cpp11 #qt #performance
a great read from @johnysswlab johnysswlab.com/the-price-of-d…
Good post to read by @johnysswlab on "Making your program run faster: the key concepts of software performance" #performanceengineering #performancetesting johnysswlab.com/making-your-pr…
Now *this* is a great example of proper benchmarking. Using runtime info alone requires relying too much on intuition, and performance on today's complex systems often defy our intuition.
We try to answer why #quicksort is faster than #heapsort and then we dig deeper into these algorithms' #hardwareefficiency. The goal: making them faster. johnysswlab.com/why-is-quickso…
Episode 311 of CppCast is live! In this episode @robwirving and guest host @mattgodbolt are joined by @dendibakh to talk about performance tuning and the future of #cplusplus performance! Listen Now! cppcast.com/performance-tu…
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