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

Dynatrace

APRIL 21, 2023

State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. APM helps ensure that citizens experience strong application reliability and performance efficiency. million annually through retiring legacy technology debt and tool rationalization.

Government 165

Government Infrastructure Innovation Monitoring 165

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Security by design enhanced by unified observability and security – blog Business spend management company Soldo uses unified observability and security to implement efficient security-by-design and DevSecOps practices.

Artificial Intelligence 236

Artificial Intelligence Cloud Best Practices DevOps 236

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons.

Media 296

Media Metrics Systems Processing 296

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. There's a huge short-term and long-term efficiency of services that depends on the successful coordination of cloud services and infrastructure. For example, AWS created Nitro.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 170

Cloud Traffic Best Practices Strategy 170

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

VoltDB

DECEMBER 11, 2024

Use hardware-based encryption and ensure regular over-the-air updates to maintain device security. As data streams grow in complexity, processing efficiency can decline. Solution: Optimize edge workloads by deploying lightweight algorithms tailored for edge hardware. Balancing efficiency with carbon footprint reduction goals.

IoT 52

IoT Energy Logistics Latency 52

Adrian Cockcroft

SEPTEMBER 23, 2024

Deep dive into NVIDIA Blackwell Benchmarkswhere does the 4x training and 30x inference performance gain, and 25x reduction in energy usage comefrom? The first benchmark claim is 4x for training performance vs. H100, rather than the 2.5x The over-all 4x training speedup claim seems plausible for large configurations.

Benchmarking 52

Benchmarking Energy Architecture Latency 52

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

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 110

Open Source Google Artificial Intelligence Infrastructure 110

O'Reilly

SEPTEMBER 19, 2023

A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware.

Hardware 100

Hardware Storage Big Data Blockchain 100

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 116

Artificial Intelligence Transportation Education Airlines 116

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

All Things Distributed

DECEMBER 12, 2018

We also provided web-based training, self-paced labs, customer support, third-party offers, and up to $100,000 in AWS service credits–all at no charge. If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware.

AWS 120

AWS Cloud Games Serverless 120

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Industrial machinery is instrumented and Internet connected to stream data into the cloud to gain usage insights, improve efficiencies and prevent outages. Cloud enables self-service analytics.

Analytics 111

Analytics Cloud Healthcare Retail 111

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 114

Availability Database Open Source Hardware 114

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 85

Cloud Open Source Strategy Best Practices 85

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 99

Open Source Database Strategy Hardware 99

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++ 130

C++ Lambda Network Programming 130

Alex Russell

APRIL 29, 2021

Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance.

Media 145

Media Games Education Engineering 145

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

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. Challenges compiling non-standard kernels.

Systems 87

Systems Programming Tuning Innovation 87

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it.

Latency 52

Latency Hardware Cache Architecture 52

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. But the gain in efficiency would be relatively small.

Games 118

Games Processing Healthcare Systems 118

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 48

Latency C++ Hardware Performance 48

VoltDB

JUNE 26, 2024

Smart manufacturers are always looking for ways to decrease operating expenses, increase overall efficiency, reduce downtime, and maximize production. Reduced costs Intelligent manufacturing reduces costs by optimizing resource allocation, minimizing waste, and managing energy efficiently.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

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

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

All Things Distributed

MARCH 13, 2017

Digitalization offers almost endless possibilities to communicate faster, work more efficiently, and be more creative – in real-time. Previously, the top priorities for IT departments were equipping data centers with hardware, purchasing software, and further developing proprietary software.

Social Media 73

Social Media Retail Automotive Innovation 73

Alex Russell

JUNE 20, 2020

In each quantum of time, hardware and OS vendors press ahead, adding features. As OS and hardware deployed base integrate these components, the set of what most computers can do is expanded. This is often determined by hardware integration and device replacement rates. Neural net acceleration will soon be on the list ??.

Hardware 64

Hardware Games Java Mobile 64

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down.

Energy 52

Energy Cloud Traffic Transportation 52

The Agile Manager

JUNE 23, 2007

This might be a data centre where hardware uptime is guaranteed to process transactions, a timesheeting capability that is available on-demand, or development of a custom application to analyse asset backed securities. An efficient, risk-assuming IT capability is a superb utility that contains cost.

Technology 40

Technology Technology Energy Innovation 40

Alex Russell

JANUARY 30, 2024

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. I fear we will not be so lucky; an entire generation has been trained to ignore reality, to prize tribalism rather than engineering rigor, and to devalue fundamentals.

Performance 98

Performance Network Mobile Speed 98

The Netflix TechBlog

FEBRUARY 13, 2020

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. High-Efficiency Video Coding ( HEVC ) is the successor of H.264, 264, a.k.a.

Code 221

Code Metrics Efficiency Open Source 221

The Morning Paper

SEPTEMBER 26, 2019

…pilots are trained and instructed to trust the instruments more than their intuition. Therefore, through this research, we highlight an open research challenge of building secure, scalable and efficient aircraft landing systems. If the instruments ask them to fly right, the pilots will fly right. Emphasis mine).

Wireless 91

Wireless Systems Airlines Hardware 91