Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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99.99% Uptime for MySQL and PostgreSQL Databases
Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.
Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
...Locale and internationalization are not considered. Supports stripping whitespace, delimited splitting, set operations, delimited field searches, case handling, comparisons and delimited file parsing. Benchmarks are included and show this to be faster than StrTk, Boost, Python and Java.
Quickly performe i/o benchmarks against your servers, and VM's to quickly diagnose suspect storage (SAN, NAS) and other performance related issues across your WAN\LAN with one simple to use application.
O dBest (database benchmark test toolkit) é um framework multi-plataforma, multi-benchmark e multi-SGBD que fornece suporte para a realização de avaliações de desempenho em bancos de dados e possibilita a rápida prototipagem de novos benchmarks.
New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
This open source software benchmarks the queries per second of an Apache Lucene index. It is an Java implementation and uses MultiFieldQueryParser to form a query.
"UltraQueue" is a library (DLL) project, written in C++. This library is intended to be used for very fast temporary data storage, aquired by any possible source (File, Serial Port, ...). Users can create multiple queues of differrent sizes & types
...This project provide examples (snippets) for interfacing various software tools and languages with various mechanism. It has been created to help in HW/SW co-simulation and to provide benchmarks.
GL-Status is a program to view OpenGL support status of a computer. It provides tools to get render system information, do certain tests and benchmarks to determine the robustness of GPUs and OpenGL drivers.
A very high speed memory manager (aka malloc, aka heap manager), substantially faster than other fast malloc implementations tested (nedmalloc, tcmalloc, TBBMalloc, FastMM4) on small allocations in multithreaded scenarios. And some benchmarks for measuring heap performance.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
This is a software tool that automates the process of benchmarking high performance computer clusters by auto analyzing the hardware of the cluster and configuring and compiling specialized benchmarks (HPC Challenge, IOzone, Netperf)
Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java Virtual Machine. RTMB consists of benchmarks in C, C++ and Java
Since 2015, deprecated for Collective Knowledge Framework: http://github.com/ctuning/ck/wiki
cTuning framework is a community-driven project to enable portable, self-optimizing applications and computing systems. It includes interactive optimizing compilers, program and hardware characterization tools, benchmarks and optimization repository.
This is a simple, modular PHP class designed to record execution time benchmarks throughout different parts of a script. Compatible with virtually any PHP script, the code can be added/removed quickly and with ease. Accurate to the microsecond.
In 2015, we converted cBench to open Collective Knowledge Format (CK) and moved it here:
http://github.com/ctuning/ctuning-programs
CK allows you to simplify compilation and execution of these benchmarks across multiple platforms (Windows, Linux, MacOS, Android ...).
Collective Benchmark (cBench) is a collection/extension of open-source programs and multiple datasets to enable realistic benchmarking and research on program and architecture optimization.
A language-validation testing harness for Java (and Java-like) compilers & other language tools. Provides a framework for verifying whether static/runtime errors occur when running collections of test programs (benchmarks) described by "jlbench" files.
Project Bonneville is a suite of Java micro-benchmarks for revealing JVM performance trends and providing insight into coding Java programs for speed. It includes an analysis of its results, and discusses their application to real-world projects.
A number of benchmarks that can be run on different OS and JDK versions to effectively score that environment. This project builds on top of the Javatech Commons project.
This project benchmarks the performance of three Java toolkits for working with VMware Infrastructure and vSphere: VI (vSphere) Java, the VI SDK for Java, and the vSphere SDK.
Some benchmarks for vector operations using SSE. Comparison between C, assembler, and SSE intrinsics. Vector sum, product, dot product - arbitrary length.
A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.
In 2015, we converted MiDataSets and cDataSets to open Collective Knowledge Format (CK) and moved them here: http://github.com/ctuning/ctuning-datasets-min
CK allows you to simplify compilation and execution of these benchmarks across multiple platforms (Windows, Linux, MacOS, Android ...).
In this project, we collect multiple datasets for a MiBench benchmark (free, commercially representative embedded benchmark suite) to create the conditions for a more realistic benchmarking of different computing systems.
Cbench is intended to be a relatively straightforward collection of tests, benchmarks, applications, utilities, and framework to hold them together with the goal to facilitate scalable testing and benchmarking of a Linux parallel compute cluster.
ABPS - Advanced Branch Prediction Simulator - allows: branch prediction simulation using multiple predictors (GAg,PAg,PAp,GShare,Perceptron) and detection of unbiased branches. Results can be seen using charts. Used benchmarks: Stanford, SPEC2000, CBP2.
This project is intended to track Linux kernel performance by running a set of key benchmarks with latest snapshots of development kernel source tree (Linuss kernel git tree). Latest benchmark results are hosted here as well as historical data.