Search Results for "computing"
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Showing 6 open source projects for "computing"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Kubernetes Handbook
Cloud native application architecture practice handbook
...Kubernetes is a container orchestration and scheduling engine developed by Google in June 2014 based on its internal Borg system. Google contributed it as an initial and core project to the CNCF (Cloud Native Computing Foundation). In recent years, it has gradually developed a cloud native Ecology. The goal of Kubernetes is to provide a specification to describe the architecture of the cluster. -
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Toward A Philosophy Of Computing
How to philosophize with internetworked electronic computing machinery
Toward A Philosophy Of Computing begins as a dissertation proposal in Texts and Technology at the University of Central Florida that explores doing philosophy by programming. See the project wiki for the proposal. -
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Jacksum
a free cross platform checksum utility, supports 58+ hash algorithms
...This site has been left for historical purposes ONLY, you find older Jacksum versions here. Please visit the GitHub site for current development. Jacksum 1.7.0 is a platform independent checksum utility (written entirely in Java) for computing and verifying (integrity check) checksums, CRC and hashes (fingerprints). It supports 58 popular hash algorithms and a lot of unique features. -
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DRBL provides diskless or systemless environment. It uses distributed hardware resources and makes it possible for clients to fully access local hardware. It also includes Clonezilla, a partition and disk cloning utility similar to Ghost.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Bat2015
Bachelor of Science (Informatik)
...With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do. -
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A repository of grid computing student exercises. The repository currently contains a grid-enabled mergesort using Condor. Exercises to be developed include genome analysis, genetic algorithm, integration, matrix multiply, ray tracing, etc.
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