Search Results for "tiny c compiler"
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Showing 4 open source projects for "tiny c compiler"
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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Titan allows service-oriented processing of context recognition applications on Wireless Sensor Networks. It includes an execution environment developed for TinyOS and a Java ME (Personal Profile) Network Manager intended to be run on a mobile phone.
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libmsgque
something that writes code for you
The **libmsgque** project is an infrastructure that allows multiple package-items to be linked together to act as one application. To link, you need to distribute the work from one package-item to another package-item and wait for an answer or not. > Philosophy: Write Once → Run Everywhere The package-item can be a thread, a separate local process that is started by fork or spawn, or even a network of multiple services on multiple hosts. The package-item can be written in any... -
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AdminUCV NGN is NMS written in Java/C++, that supports IPv4 and IPv6. It brings a SNMP based manager (SNMP v1 and v2c), a graphical tool to monitor the network, a traps receiver, a MIBs compiler and tools such as ping, tracert, port scanner and sniffer.
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RUNES is a cross-platform, component-based middleware framework allowing for dynamic reconfiguration of functionality. Its lightweight implementation spans powerful nodes like PDAs and PCs, as well as tiny embedded devices.
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