Abhishek Tiwari

DECEMBER 13, 2017

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Too many fine-grained services leading to network and communication overhead. Well – there are many answers to this.

Cache 198

Cache Architecture Database Government 198

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Highly Scalable

AUGUST 20, 2013

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. It is conceptually similar to the in-stream processing pipelines. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Healthy competition features various parties trading the lead with regularity.

Media 145

Media Games Education Engineering 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. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 107

Availability Database Open Source Hardware 107

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

John McCalpin

AUGUST 1, 2018

Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Interacting components in the execution of an MPI job — a brief outline (from memory): The user source code, which contains an ordered set of calls to MPI routines.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. There are also stateless interconnects including buses and on-chip networks. Microarchitectural channels. Threat scenarios. IPC) input and output channels.

Hardware 44

Hardware Cache Latency Speed 44

The Morning Paper

FEBRUARY 20, 2020

statement adds the source code for the model pipeline (Python in the example) to the database. A runtime code generator creates a SQL query incorporating all of these optimisations. For single or very small numbers of predictions, Raven is faster due to SQL Server’s caching. An INSERT INTO model. categorical encoding).

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. What about security?

Hardware 56

Hardware Programming Media Storage 56

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

Smashing Magazine

AUGUST 22, 2021

As we will see, QUIC and HTTP/3 indeed have great web performance potential, but mainly for users on slow networks. If your average visitor is on a fast cabled or cellular network, they probably won’t benefit from the new protocols all that much. An often used metaphor is that of a pipe used to transport water. Congestion Control.

Performance 106

Performance Network Latency Servers 106

The Morning Paper

APRIL 2, 2019

Root of trust (RoT) establishment on an untrusted system ensures that a system state comprises all and only content chosen by the user, and the user’s code begins execution in that state. In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g.

Software 40

Software Software Programming Hardware 40

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. Budgets are scaled to a benchmark network & device. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Execute the script. Global Ground-Truth.

Performance 68

Performance Benchmarking Network Mobile 68

John McCalpin

NOVEMBER 5, 2016

So consider the dense matrix multiplication operation C += A*B, where A, B, and C are dense square matrices of order N, and the matrix multiplication operation is equivalent to the pseudo-code: for (i=0; i<N; i++) { for (j=0; j<N; j++) { for (k=0; k<N; k++) { C[i][j] += A[i][k] * B[k][j]; } } }.

Cache 40

Cache C++ Latency Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times. aspx ) and ​​ Sparse Files ​​ ( [link] f ault.asp?url=/library/en-us/fileio/fs/sparse_files.asp

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 21, 2021

And suddenly, before you know it, the code base gets a little bit overweight and fragmented , third-party scripts have to load just a little bit earlier, and shiny new dynamic content finds its way into the DOM through the backdoors of fourth-party scripts and their uninvited guests. On some article pages, the graph looked differently.

Performance 145

Performance Cache Mobile Network 145

Smashing Magazine

APRIL 29, 2021

Lazy-load offscreen images (reduce network contention for key resources). For low impact to First Input Delay : Avoid images causing network contention with other critical resources like CSS and JS. The above code with an alt specified looks as follows: <img src="donut.jpg" alt="A delicious pink donut."> Large preview ).

Media 145

Media Network Metrics Mobile 145

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored. 300ms RTT, 1.6

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g.

Performance 104

Performance Cache Network Metrics 104

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching.

Architecture 52

Architecture Cache Azure Storage 52