Adrian Cockcroft
JANUARY 17, 2022
There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. The other continuing trend is to custom silicon, with specialized accelerators and the ARM based Graviton range from AWS, Apple’s M1 series, Tesla’s in car processor and training engines etc.
O'Reilly
SEPTEMBER 15, 2021
Most respondents participated in training of some form. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. Company-provided training opportunities were most strongly associated with pay increases. Demographics.
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ACM Sigarch
MAY 31, 2023
There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. In large recommendation models, failure tolerance is important to continue training upon failures but checkpointing may cause performance degradation. Using emulation (e.g.
ACM Sigarch
APRIL 26, 2018
EPU: Emotion Processing Unit is designed by Emoshape , as the MCU microchip design to enable a true emotional response in AI, robots and consumer electronic devices as a result of a virtually unlimited cognitive process. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens.
Percona
JUNE 22, 2023
Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Without enough infrastructure (physical or virtualized servers, networking, etc.),
Alex Podelko
SEPTEMBER 8, 2020
Instead of diving in arguing about specific points (which I partly did in my earlier post – start from The Future of Performance Testing if you are interested), I decided to talk to people who monetize on these “myths” So here is a virtual interview with Guillaume Betaillouloux , co-founder and Performance Director of OctoPerf.
The Morning Paper
FEBRUARY 18, 2020
The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.
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