HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

John McCalpin

APRIL 2, 2020

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

ScaleOut Software

MAY 15, 2014

Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers. Testing Scale-Up Performance. So our comments will be confined to what testing we felt was valuable and how well SOSS performed.

Cache 40

Cache Servers Network Design 40

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. petaflops, which is 0.8% of peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

SQL Performance

DECEMBER 17, 2019

You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. These include Entry level, General purpose, Compute optimized, Memory optimized, Storage optimized, GPU, High performance compute and Confidential secure enclave. GHz, 128MB of L3 cache, 128 PCIe 4.0

Azure 72

Azure Virtualization Servers Storage 72

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media 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

SQL Server According to Bob

AUGUST 23, 2021

SQL Server may choose to divide the memory node allow ing ​​ for better partitioning and performance. The decision is performance driven. ​​ A memory node represents the memory associated with a group of CPUs from the physical hardware. ​​ (Usually queries submitted from TDS based clients.)

Servers 40

Servers Azure Operating System Database 40

Smashing Magazine

JUNE 2, 2021

Improving The Performance Of An Online Store (Case Study). Improving The Performance Of An Online Store (Case Study). Every front-end developer is chasing the same holy grail of performance: green scores in Google Page Speed. Today, the website is much faster and ranks highly in various showcases and benchmarks.

Performance 115

Performance Cache Website Mobile 115

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core. buffer copies for filesystem access) with a single thread.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

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. We employ large scale data filtering algorithms to let large clusters of clients synchronize with Cloud File System. Disk based caching. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52