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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea. What about arrays? We want Zippads to compress both well.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

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HammerDB for Managers

HammerDB

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. HammerDB supports 2 workloads derived from TPC specifications to test these different requirements, namely TPROC-C derived from TPC-C for OLTP and TPROC-H derived from TPC-H for OLAP. Cached vs Scaled Workloads.

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OneAgent release notes version 1.207

Dynatrace

Upcoming Operating systems support changes. The following operating systems will no longer be supported starting 01 February 2021. The following operating systems will no longer be supported starting 01 May 2021. The following operating systems will no longer be supported starting 01 June 2021.

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How PHP Web Development Beneficial For Online Business?

Official Blog - World Web Technology

Unlike other popular programming languages such as C or Pearl, PHP pages have HTML with embedded code with some start and end processing instructions that allow you to jump directly into and out of PHP mode. Various techniques, such as caching and optimization, improve the website’s performance and speed.

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How to Assess MySQL Performance

HammerDB

This all sounded very similar to HammerDB TPROC-C workload (we will look at HammerDB TPROC-H (OLAP) another time), so it is easy for any reader to think both workloads are about the same. Operating System: Ubuntu 22.04 Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. The PostgreSQL buffer is called shared_buffer, which is the most effective tunable parameter for most operating systems.

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