Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. The updated paper will be available in the next mailing in mid-December.

C++ 117

C++ Lambda Network Programming 117

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

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.

Government 95

Government Software Engineering Storage Database 95

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

All Things Distributed

SEPTEMBER 4, 2017

As a result, there is a critical mass of data available. And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. We may have come a relatively long way with AI, but the progress came quietly.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 105

Availability Database Open Source Hardware 105

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

High Scalability

OCTOBER 24, 2022

There is no structural separation as there is with a train service. Each cloud-native evolution is about using the hardware more efficiently. It's not because there are no other options available to them because of structural issues. You can even go old school and use non cloud-native architectures. Neither are clouds.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 214

Java C++ Benchmarking Programming 214

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 100

Efficiency Cloud Healthcare Open Source 100

Sutter's Mill

FEBRUARY 13, 2017

.” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 50

Latency C++ Hardware Performance 50

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

Alex Russell

JANUARY 30, 2024

This split decision was available via last year's update , but was somewhat buried. HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Going forward, I'll produce both as top-line guidance. In the U.S., This nets out to 2.32

Performance 90

Performance Network Mobile Speed 90

O'Reilly

JULY 15, 2020

If you combine the different architectural roles—i.e., Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). What share of the systems they’re deploying or maintaining are built to microservices architecture? Figure 2: Respondent industries.

Database 136

Database Architecture Education Systems 136

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 212

Code Metrics Efficiency Open Source 212

The Morning Paper

JULY 18, 2019

The overall Neural Bloom Filter architecture looks like this: A controller network encodes the input (which might be a row in a table, but could equally be e.g. an image) into an embedding. More recently, the Kanerva Machine introduced a level of indirection with a learnable addressing matrix that learns where to write. Wrapping up.

Network 86

Network Java Database Hardware 86

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Other factors to consider include workload, resources (including financial), and the availability of team members. Hardware And E-Waste. Identifying where sustainability and cost savings overlap is a good place to start.

Strategy 125

Strategy Development Energy Website 125