my technical projects (underway) or interests, with hashtags, so findable:
book & blog series on software performance & scalability
#software #programming #performance #scalability #scaling #optimization #tuning #engineering #guides #HPC #BrendanGregg
my tech interests and favored tools:
#Go #Golang #Python #C #Linux #git #SQL #webdev #cloud #Internet #DistributedSystems #threading #concurrency #parallelization #EDA #queues #MessagePassing #CLI #TUI #curses #Terminals #consulting #Systems
#software #programming #performance #scalability #scaling #optimization #tuning #engineering #guides #hpc #brendangregg #go #golang #python #c #linux #git #sql #webdev #cloud #internet #distributedsystems #threading #concurrency #parallelization #eda #queues #messagepassing #cli #tui #curses #terminals #consulting #systems
'Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence', by Julie Nutini, Issam Laradji, Mark Schmidt.
http://jmlr.org/papers/v23/18-045.html
#parallelization #sparse #optimization
#parallelization #sparse #optimization
Good morning ☕️☕️
Can’t wait these build jobs to finish …
#Parallelization doesn’t always make everything faster
This year's programming revelation for me was the #multiprocessing library #ray. Now that I've discovered how easily you can adapt existing code to make it scale up to any number of nodes, I can never go back to Python's built-in multiprocessing, especially considering all the limitations that have suddenly evaporated in a ray :mind_blown: Also, the interface is so dead simple, I can't believe it. #python #programming #DataScience #bigdata #scalability #parallelization #interfaces #ux
#multiprocessing #ray #python #programming #DataScience #BigData #scalability #parallelization #interfaces #ux
#Introduction
I’m a #father, a #filmmaker, dabbler in #engineering of many types.
Technologically, my interests lie in the bleeding edge of possibility wherever I see it.
#nixos #nixflakes #foss
#haskell #GHC #dependentlytyped #dependenttypes #functionalprogramming
#plutus #cardano #smartcontracts #formalmethods #formalverification
#idris #swift #arduino #riscv #Rust
#decentralization #parallelization #biomimicry #buddhism #leftist
#cinelighting #cinematography
#anarchosyndicalism #science
#Science #anarchosyndicalism #cinematography #cinelighting #leftist #buddhism #biomimicry #parallelization #decentralization #Rust #riscv #Arduino #swift #idris #formalverification #formalmethods #smartcontracts #cardano #Plutus #functionalprogramming #dependenttypes #dependentlytyped #ghc #haskell #FOSS #nixflakes #nixos #engineering #filmmaker #father #Introduction
@hex
I've never had twins, but I'm sure they are. My sister's wife gave birth to twins a couple months before my sister gave birth to a single child. And it certainly seems like a lot of work from what I've seen.
#parallelization
Speedy Scripts: Sandra Henry-Stocker shows you how the open source pa.sh tool can speed up complex scripts with parallelization https://www.fosslife.org/speed-linux-scripts-pash-tool #tools #ParallelProcessing #code #programming #performance #Linux #OpenSource #FOSS #parallelization
#parallelization #foss #opensource #Linux #performance #programming #code #ParallelProcessing #tools
@rmhogervorst @rstats@gup.pe
Sources for using OpenBlas multi-threading numerical libraries in CRAN R:
[1] https://csantill.github.io/RPerformanceWBLAS/ (including Benchmarks and HowTo for Linux)
[2] http://brettklamer.com/diversions/statistical/faster-blas-in-r/
[3] https://www.r-bloggers.com/why-is-r-slow-some-explanations-and-mklopenblas-setup-to-try-to-fix-this/
[4] https://github.com/xianyi/OpenBLAS (binary packages for Windows)
#rstats #cran #multicore #multithreading #parallelization #linux #windows #OpenBlas #BLAS #LAPACK
#rstats #cran #multicore #multithreading #parallelization #linux #windows #openblas #blas #lapack
@rstats@gup.pe I would like to ask you about your experience with multi-threading and multi-core processors in R:
What is the current state of official CRAN R in using multi-threaded libraries to fully utilize multi-core processors? Were there any recent developments (on Linux and Windows)?
Now in 2020, how is the performance of CRAN R compared to Microsoft/Revolution R?
#rstats #cran #multicore #multithreading #parallelization #linux #windows
#rstats #cran #multicore #multithreading #parallelization #linux #windows