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10 results for “jedbrown”
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Interesting paper by @jedbrown et al.
https://doi.org/10.48550/arXiv.2401.13196
For computational mechanics/physics, if you code by just punching in the equations from the textbooks directly, the physics should work, but computationally the way you evaluate the quantities may be unstable. This paper lists some recipes to avoid these.
Mostly small strain problem, but still feels icky to leave in.
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@fclc @hattom @jedbrown this is great news ! Could you forward the thread to me ? I heard they were doing that but I would like to update the community build I am working on to reflect that .. #volunteersneeded
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What if Everything is Free? Exploring The #LibraryOfThings Concept
"Research has shown that people are increasingly open to collaborative consumption, with studies indicating a rising willingness to share goods instead of purchasing them outright."
by Jed Brown, Feb 19, 2025
"In today’s consumer-driven society, the idea of ownership is so deeply ingrained that imagining a world where everything is free can seem radical — if not downright impossible.
Yet, emerging initiatives like the Library of Things invite us to reconsider our relationship with material goods. Rather than accumulating items, communities are experimenting with a model where objects are shared rather than owned."
Read more:
https://medium.com/@jedbrown99/what-if-everything-is-free-f52874528afc#SolarPunkSunday #SharingEconomy #LibrariesOfThings #BorrowDontBuy #Degrowth #LibrariesOfThings #Decapitalize
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Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sarah's new library, #nanogemm, is competitive or better without JIT (modulo a caveat about padding). #Rust #HPC #GEMM
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Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sarah's new library, #nanogemm, is competitive or better without JIT (modulo a caveat about padding). #Rust #HPC #GEMM
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Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sarah's new library, #nanogemm, is competitive or better without JIT (modulo a caveat about padding). #Rust #HPC #GEMM
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Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sarah's new library, #nanogemm, is competitive or better without JIT (modulo a caveat about padding). #Rust #HPC #GEMM
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Amazing work from Sarah El-Kazdadi. #LibXSMM has become standard for applications needing small, dense matrix multiply/tensor contraction. It uses JIT, which was widely believed to be necessary to achieve high performance in this domain. Sarah's new library, #nanogemm, is competitive or better without JIT (modulo a caveat about padding). #Rust #HPC #GEMM
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The #CUBoulder Department of Ethnic Studies wrote a powerful justice-oriented statement a few weeks ago calling for a ceasefire and Palestinian liberation, explicitly informed by intersectional, anti-racist, and decolonial feminist, queer, and trans scholarship. They immediately came under fire from many sources, including the Chancellor, President, and the local newspaper. I stand with the Department's freedom of expression, and have signed this letter.
https://www.change.org/p/reaffirming-academic-freedom-at-cu-boulder-in-a-time-of-war
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Congratulations to Field van Zee and Devin Matthews (and the grater #BLIS community) on being selected for the 2023 Wilkinson Prize in Numerical Software. This prize is awarded once every 4 years. BLIS (https://github.com/flame/blis) provides a clean separation of concerns for high performance dense #LinearAlgebra, with minimal arch-specific code to achieve top performance across hardware, and enabling sharp analytic modeling.
#SIAM #HPC