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.

Serverless 98

Serverless Hardware AWS Architecture 98

ACM Sigarch

MAY 31, 2023

However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g., There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. About CXL hardware availability with academia.

Latency 52

Latency Hardware Cache Architecture 52

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.

Azure 145

Azure Social Media Programming AWS 145

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 109

Availability Database Open Source Hardware 109

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.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Morning Paper

FEBRUARY 18, 2020

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. EGML requirements.

Government 95

Government Software Engineering Storage Database 95

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.

Open Source 223

Open Source Performance Testing Testing Performance 223