Essays about: "based on DSP"
Showing result 1 - 5 of 54 essays containing the words based on DSP.
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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. Introducing Machine Learning in a Vectorized Digital Signal Processor
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. READ MORE
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3. Acoarse grain reconfigurable memory architecture for linear algebra and deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Companies and institutions around the world have been working to develop machines with always more computing power. This race has now found its new objective: hexascale computing (with 1018 flops machines). READ MORE
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4. SLAM Hardware & Software optimization for mobile platform integration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis work will focus on the optimization of a state-of-the-art monocular Visual-Inertial Odometry (VIO) algorithm for real-time application with limited resources on an embedded system. We will be using a multi-processor unit equipped with a Digital Signal Processor (DSP) to accelerate and offload tasks from the CPU. READ MORE
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5. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). READ MORE