A new technical paper titled “Automatically Retargeting Hardware and Code Generation for RISC-V Custom Instructions” was published by researchers at Tampere University. “Custom instruction (CI) set ...
Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...
In a quest to bolster a long-running claim from President Trump concerning undocumented immigrants illegally voting, the Justice Department is seeking detailed voter roll data from over 30 states. By ...
Email notifications are only sent once a day, and only if there are new matching items. A discussion facilitator hunched over a roundtable in early August to pose a fantasy scenario to those ...
WASHINGTON (TNND) — Victims of convicted sex offender Jeffrey Epstein who are fed up with the government run-around said they will compile their own "client list" on Wednesday during a rally on ...
After nearly three decades of silence, dozens of victims of Jeffrey Epstein and their supporters massed at the foot of the U.S. Capitol on Wednesday, demanding the release of all government records ...
Victims of convicted sex offender Jeffrey Epstein said Tuesday they are working together to compile a list of powerful figures connected to the disgraced financier after growing frustrated with the ...
TOKYO, Sept 2 (Reuters) - Japan's Prime Minister Shigeru Ishiba plans to ask ministers as early as this week to compile an economic stimulus package to address inflation and Trump administration ...
Google has introduced Mangle, a new open-source programming language that extends the classic logic-based language Datalog for modern deductive database programming. Implemented as a Go library, ...
Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...
With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...
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