Tootfinder

Sweet, Arizona has TWO on this list of the USA's top twenty most boring cities 😂🤣
Edit - found the link these rankings came from, with the explanations of how they came up with them: https://financebuzz.com/most-boring-cities-in-america-ranked

Bored in the USA: The Most Boring Cities in America, Ranked
FinanceBuzz evaluated 75 of the biggest cities in the U.S. to find the most boring cities in the country. Is yours on the list?

SFMTA is adding left turns back to Valencia at 17th, 21st and 23rd streets with a new phase, which will cut down on time for pedestrian and bike crossings. The word is that Mayor Lurie directly ordered this. Signal modifications are very expensive and that money could have gone to safety or transit priority.
Seems small, but it's wasteful and adds to the "death by a thousand cuts" for Transit First in Lurie's SF.

🇺🇦 Auf radioeins läuft...
Oasis:
🎵 Supersonic (Remastered)
#NowPlaying #Oasis
https://djeclectico.bandcamp.com/track/oasis-supersonic-edit-dj-ecl-ctico
https://open.spotify.com/track/01Ox3uPKBqENtiWNlVaRdD

Terminated NIH grants are being reinstated almost entirely in blue states (Anil Oza/STAT)
https://www.statnews.com/2025/07/03/nih-cuts-grant-restoration-complicated-by-limits-to-court-order-trump-dei-restrictions/
http://www.memeorandum.com/250703/p99#a250703p99

🇺🇦 Auf radioeins läuft...
Oasis:
🎵 Supersonic (Remastered)
#NowPlaying #Oasis
https://djeclectico.bandcamp.com/track/oasis-supersonic-edit-dj-ecl-ctico
https://open.spotify.com/track/01Ox3uPKBqENtiWNlVaRdD

Communication Round and Computation Efficient Exclusive Prefix-Sums Algorithms (for MPI_Exscan)
Jesper Larsson Tr\"aff
https://arxiv.org/abs/2507.04785

Communication Round and Computation Efficient Exclusive Prefix-Sums Algorithms (for MPI_Exscan)
Parallel scan primitives compute element-wise inclusive or exclusive prefix sums of input vectors contributed by $p$ consecutively ranked processors under an associative, binary operator $\oplus$. In message-passing systems with bounded, one-ported communication capabilities, at least $\lceil\log_2 p\rceil$ or $\lceil\log_2 (p-1)\rceil$ communication rounds are required to perform the scans. While there are well-known, simple algorithms for the inclusive scan that solve the problem in $\lceil\l…

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan
Fumikazu Konishi
https://arxiv.org/abs/2507.02124 ht…

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan
SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It reinforces the ``KOKARYOKU PHY'' configuration of bare-metal GPU servers and is designed as a cluster computing resource optimized for advanced workloads, including large language model (LLM) training. In the ISC 2025 edition of the TOP500 list, SAKURAONE was ranked \textbf{49th} in the world based on its High Performance Linpack (HPL) score, demonstrating its glob…

🇺🇦 Auf radioeins läuft...
Oasis:
🎵 Supersonic (Remastered)
#NowPlaying #Oasis
https://djeclectico.bandcamp.com/track/oasis-supersonic-edit-dj-ecl-ctico
https://open.spotify.com/track/4jJfa4mO5JjV9Tz2aAxE2M

Melding the Serverless Control Plane with the Conventional Cluster Manager for Speed and Compatibility
Leonid Kondrashov, Lazar Cvetkovi\'c, Hancheng Wang, Boxi Zhou, Dhairya Rungta, Dmitrii Ustiugov
https://arxiv.org/abs/2505.24551

Melding the Serverless Control Plane with the Conventional Cluster Manager for Speed and Compatibility
Modern serverless applications, often interactive with highly volatile traffic, challenge system scalability, demanding control planes that deliver low latency and cost efficiency. Analysis of production traces and existing systems reveals that current control plane designs (synchronous and asynchronous), particularly when built on conventional cluster managers like Kubernetes, struggle with this balance, often wasting significant CPU and memory resources on creating underutilized or idle insta…

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication
Jinliang Shi, Shigang Li, Youxuan Xu, Xueying Wang, Rongtian Fu, Zhi Ma, Tong Wu
https://arxiv.org/abs/2506.22714

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication
Sparse matrix multiplication operators (i.e., SpMM and SDDMM) are widely used in deep learning and scientific computing. Modern accelerators are commonly equipped with Tensor cores and CUDA cores to accelerate sparse operators. The former brings superior computing power but only for structured matrix multiplication, while the latter has relatively lower performance but with higher programming flexibility. In this work, we discover that utilizing one resource alone leads to inferior performance …