Remove 2003 Remove Benchmarking Remove Network
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HammerDB v4.7 New Features Pt 3: Lightweight Docker Images for rapid testing

HammerDB

introduces more lightweight database specific Docker Images, so if you only want to run benchmarks against a specific database you can go from having no benchmarking environment to reviewing your results in as little as 3 commands. How to deploy HammerDB CLI fast with Docker HammerDB v4.7 scripts/tcl/postgres/tprocc/pg_tprocc.sh

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Web Performance Bookshelf

Rigor

These are the bestsellers in the web performance field, including the good old Speed Up Your Site (2003) by Andy King; Steve Souders’ Even Faster Web Sites (2009) ; Ilya Grigorik’s High Performance Browser Networking (2013) ; Tammy Everts’ Time is Money (2016) ; and a handful of more recent publications.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52
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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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How to deploy HammerDB CLI fast with Docker

HammerDB

hammerdb@REDPOLL:~$ sudo docker run --network=host -it --name hammerdb tpcorg/hammerdb bash root@REDPOLL:/home/hammerdb/HammerDB-4.6#. Copyright (C) 2003-2022 Steve Shaw Type "help" for a list of commands Initialized new SQLite on-disk database /tmp/hammer.DB Copyright (C) 2003-2022 Steve Shaw. Use a different Browser.

C++ 62
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. I presented a keynote for Sun at Supercomputing 2003 in Phoenix Arizona and included the slide shown below.

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HammerDB Concepts and Architecture

HammerDB

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. You can download and compile TCL/TK 8.6 HammerDB CLI v3.1 loaded library redis for Redis hammerdb> Database Extensions.