Essays about: "parallellitet"
Showing result 1 - 5 of 9 essays containing the word parallellitet.
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1. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE
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2. Diffuser: Packet Spraying While Maintaining Order : Distributed Event Scheduler for Maintaining Packet Order while Packet Spraying in DPDK
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The demand for high-speed networking applications has made Network Processors (NPs) and Central Computing Units (CPUs) increasingly parallel and complex, containing numerous on-chip processing cores. This parallelism can only be exploited fully by the underlying packet scheduler by efficiently utilizing all the available cores. READ MORE
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3. Student understanding of Go, Concurrency and Parallelism : Analysis using Concept Maps
University essay from KTH/DatavetenskapAbstract : In this report we have used concept maps to analyze student understanding of the Go programming language, concurrency and parallelism. We designed two concept mapping exercises, one about Go and the other one about concurrency and parallelism. READ MORE
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4. Parallelisation methods applied to a finite element code
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : With Moore’s Law being verified, all we had to do was wait a few years to get more computing power. However, this increase in power is no longer exclusively based on the performance of the processor, but more and more on its ability to execute several tasks simultaneously. READ MORE
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5. Mapping quantized convolutional layers on the SiLago platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. READ MORE