Search Results for "scheduling"

This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and...

...Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.

...SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons. SpikeOS handles microthread scheduling, synchronization, distribution and communication. *** This project has been forked. NeuraNEP (sourceforge.net/projects/neuranep) represents a major update to SpikeOS. It has the same core functionality plus several enhancements, including a scripting interface. NeuraNEP is engineering-oriented, as opposed to simulation-oriented, and some features/capabilities have changed.

SCHEDuler SIMULAtor (originally sched_sim) is a simple C++ event driven simulator of scheduling policies (single processor). Currently supported scheduling policies are: FIFO, LIFO, EDF, LST, RM, DM.

DReAMSim provides a simple simulation framework for modeling homogeneous and/or heterogeneous (re)-configurable processing elements in a large-scale distributed environment. In particular, DReAMSim enables users to model task scheduling techniques at a preliminary design stage in order to investigate their performance potential. The simulation framework makes it easy to extract various performance and resource utilization related statistics to study the behavior of different task scheduling techniques. DReAMSim has been intentionally developed with a very simple-to-use interface to allow novice programmers implement their own resource management techniques without being bothered with all the hassles of a full-fledged commercial simulator, yet it has the main features required for defining reconfigurable processing elements in a distributed environment.