Transactional memory

Rock (processor)

Rock (or ROCK) was a multithreading, multicore, SPARC microprocessor under development at Sun Microsystems. Canceled in 2010, it was a separate project from the SPARC T-Series (CoolThreads/Niagara) family of processors. Rock aimed at higher per-thread performance, higher floating-point performance, and greater SMP scalability than the Niagara family. The Rock processor targeted traditional high-end data-facing workloads, such as back-end database servers, as well as floating-point intensive high-performance computing workloads, whereas the Niagara family targets network-facing workloads such as web servers. (Wikipedia).

Rock (processor)
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From playlist Linear Algebra

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From playlist Starting out with Technology

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From playlist Science

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From playlist Linear Algebra

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From playlist Linear Algebra

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From playlist Scientific American Channel

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From playlist Linear Algebra for Computer Scientists

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March 17, 2023 Vandi Verma of NASA (JPL) The goal of NASA’s robotics missions is to maximize science return. As instructions can only be sent once every one or more Martian solar days, robots need to be autonomous to be effective. In this seminar I’ll discuss autonomous navigation, flight

From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar

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From playlist Explainers

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From playlist Vintage Computers

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From playlist Episodes from the highlights reel

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From playlist Mailbag

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From playlist The O'Reilly Artificial Intelligence Conference 2019, Beijing, China

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From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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From playlist Linear algebra: theory and implementation

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N Rigid-body Dynamics - Derek Richardson

N Rigid-body Dynamics Derek Richardson University of Maryland July 17, 2009

From playlist PiTP 2009

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From playlist Rigol Oscilloscope

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From playlist Discrete Structures

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From playlist SUSECON 2019

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This is part of an online course on beginner/intermediate linear algebra, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying linear algebra to applications in multivariate signal processing, statistics, and data science.

From playlist Linear algebra: theory and implementation

Related pages

Symposium on Parallelism in Algorithms and Architectures | Terabyte | Transactional memory | Speculative multithreading