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

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

Servers 90

Servers Media Cache Storage 90

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ACM Sigarch

OCTOBER 12, 2020

In fact, according to Stack Overflow’s annual developer survey , JavaScript and Python are now the #1 and #2 most used programming languages, respectively (excluding HTML/CSS and SQL as “programming languages”). Are caches large enough for this code? What about branch prediction tables?

C++ 108

C++ Benchmarking Hardware Architecture 108

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. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough. failure rate.

Programming 79

Programming Hardware Cache Code 79

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. Provides support for "unread counts", e.g. for email and chat programs. Enable developers to compress data efficiently without downloading large amounts of code to the browser.

Media 145

Media Games Education Engineering 145

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The starting point is a set of three asumptions for an NVM-based programming model: Compared to traditional persistent media, NVM is fast.

Hardware 56

Hardware Programming Media Storage 56

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it.

Database 167

Database Lambda AWS IoT 167

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. Unlike SQL queries which are declarative, such models are expressed as imperative programs heavily dependent on libraries. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

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? MPI is a commonly used standard to implement message-passing programs on computer clusters. The source code to the library may not be available.

Hardware 40

Hardware Transportation Performance Latency 40

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 50

Latency C++ Hardware Performance 50

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

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

Randon ASCII

AUGUST 16, 2018

When a Windows program stops pumping messages there will be ETW events emitted to indicate exactly where this happened , so those types of hangs are trivial to find. Normally running every 6 ms is enough to make a program responsive, but for some reason it wasn’t making any progress. MiB, 32112, 98 code blocks. During the 2.81

Programming 75

Programming Virtualization Code Processing 75

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

John McCalpin

NOVEMBER 5, 2016

In the latest (October 2016) revision of Intel’s Instruction Extensions Programming Reference , Intel has disclosed a fairly dramatic departure from these “traditional” approaches. With 2 FMA units that have 5-cycle latency, the code must implement at least 2*5=10 independent accumulators in order to avoid stalls.

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.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Disk based caching.

Architecture 52

Architecture Cache Azure Storage 52