Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. With MLOps, data needs to be trained to understand normal behavior and what is anomalous. Unlike MLOps, AIOps doesn’t require training of data. Increased adoption of Infrastructure as code (IaC).

Serverless 264

Serverless Infrastructure Innovation DevOps 264

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. If all of this seems overwhelming or difficult to understand, our world-class MySQL Training is here to help. I hope this helps!

Performance 123

Performance Hardware Tuning Storage 123

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

APRIL 26, 2018

GPU: Graphics Processing Unit (GPU) , which achieves high data parallelism with its SIMD architecture, has played a great role in the current AI market, from training to inference. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. FPU: Floating Processing Unit (FPU). The new GV100 packs 7.4

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Scalegrid

MAY 13, 2020

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. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

OCTOBER 26, 2020

First, they used a video camera and trained an AI model but then decided to use a less privacy-intrusive variant with an infrared sensor. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project. Raspberry Pi Model 3 B.

Innovation 153

Innovation Metrics Hardware Games 153

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. Standard stuff.

Cache 126

Cache Latency Benchmarking Hardware 126

Percona

DECEMBER 27, 2023

AI and MLOps Kubernetes has become a new web server for many production AI workloads, focusing on facilitating the development and deployment of AI applications, including model training. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 78

Cloud Open Source Strategy Best Practices 78

The Morning Paper

JUNE 11, 2019

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81

Network Strategy Hardware Benchmarking 81

Adrian Cockcroft

JUNE 2, 2023

Some of the talks at GlueCon were about techniques for adding domain knowledge via re-training, prompting or plug-ins to maintain quality output. Some of the things that were hard but will become easy are personalized art, music and stories (generated, not just selected like Spotify or Pandora).

Social Media 98

Social Media Innovation Open Source Entertainment 98

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

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. I now have an opportunity at Intel to grow further in my career, and to help grow other people.

Wireless 52

Wireless Hardware Open Source Cloud 52

Scalegrid

JANUARY 5, 2024

Enhancing End-User Productivity A Database Management System (DBMS) significantly aids end-users in making well-informed and timely decisions by transforming existing data into valuable information using a range of tools.

Efficiency 147

Efficiency Storage Database Scalability 147

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 105

Availability Database Open Source Hardware 105

Testsigma

MAY 3, 2021

From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Training and Selecting Right Tool Stack. What if no one in our team is trained to operate on the tool? That’s an extra cost of training and delayed project deadlines right there! .

Mobile 77

Mobile Testing Operating System Hardware 77

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Does anyone on my team require further training before we start? Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 90

Open Source Database Hardware Strategy 90

The Morning Paper

FEBRUARY 27, 2020

memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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 207

Java C++ Benchmarking Programming 207

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

The Morning Paper

MAY 14, 2019

A DNN model is trained to recognise patterns in space and time that lead to QoS violations. When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation. Seer in action.

Big Data 45

Big Data Cloud Performance Hardware 45

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 Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

Tasktop

MAY 28, 2020

And first to invent the “Top Gun” Air Combat Training System back in the early ‘70s. . Jim has been instrumental in helping the company to double down on software innovation as a product mindset across complex value streams that straddle both software and hardware. Accelerating with a Software/Hardware Hybrid.

Speed 52

Speed Metrics Transportation Hardware 52

CSS Wizardry

OCTOBER 27, 2018

My involvement with clients here is usually workshops and training: teaching developers the knowledge and tooling required to effectively conduct performance audits, and making teams self-sufficient. Who: Engineers. When: During development.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

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. On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 51

Latency C++ Hardware Performance 51

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. For those highlights, see the previous trip report. This is that library.

C++ 107

C++ Lambda Network Programming 107

ACM Sigarch

APRIL 8, 2019

This is arguably a fundamentally hard problem for computer architecture, but efforts towards open source hardware (eg. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. RISCV ) and accessible, well-supported simulators (eg. gem5 ) are baby steps towards this goal.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

The Morning Paper

FEBRUARY 20, 2020

" This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." The dataset size here refers to the number of tuples for which predictions are to be made (not the size of training data). The last word.

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

SEPTEMBER 26, 2019

…pilots are trained and instructed to trust the instruments more than their intuition. ILS assists pilots in landing by guiding them on a safe path to the runway, and with autoland systems can even be used to land the plane without human involvement. If the instruments ask them to fly right, the pilots will fly right.

Wireless 91

Wireless Systems Airlines Hardware 91

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

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so. GPU and TPU).

Systems 87

Systems Tuning Programming Innovation 87

All Things Distributed

SEPTEMBER 4, 2017

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. But ultimately, there is something to be found for everyone who wants to define models, train them, and then scale.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149

CSS Wizardry

APRIL 2, 2018

When I’m on a flight (as I am right now) or a train, this extra bulk doesn’t bother me too much—I get settled in anyway, so I don’t mind the extra room it takes. If I go down this path, I’ll need to start considering many other things such as storage, backups, compatible media players, and maybe even dedicated hardware.

Website 108

Website Media Hardware Monitoring 108

Smashing Magazine

OCTOBER 11, 2022

Jamie Thompson from intelligent energy platform Kaluza explained in a recent talk how a developer spent just 30 minutes of spare time removing database logs, resulting in a large reduction in CO2 emissions — enough to offset Jamie’s train journey to the event. Hardware And E-Waste. Measuring The Impact.

Strategy 123

Strategy Development Energy Website 123