Essays about: "chip"

Showing result 11 - 15 of 650 essays containing the word chip.

  1. 11. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection

    University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)

    Author : Ioannis Broumas; [2023]
    Keywords : MIMO; massive MIMO; GPU; CUDA; Software Defined Radio; SDR; MMSE; ZF; zero-forcing; parallel detection; iterative methods; conjugate residual; parallel computing; kernel fusion;

    Abstract : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. READ MORE

  2. 12. Real- and Quasi-Atomic Layer Etching for Ultra-High Resolution Patterning

    University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

    Author : Yoana Ilarionova; [2023]
    Keywords : Physics and Astronomy;

    Abstract : An attempt was made at developing atomic layer etching from a cyclic etching process in an ICP-RIE tool. During the process OES was used for contamination monitoring and estimation of the relative amount of Cl2 left in the chamber during the etch step of cyclic etching processes. READ MORE

  3. 13. Optimizing the instruction scheduler of high-level synthesis tool

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zihao Xu; [2023]
    Keywords : Instruction scheduling; Scheduling algorithm; CGRA; High-level Sythnesis; SiLago; Algorithm-level Synthesis; Constraint programming; Instruktion schemaläggning; schemaläggning algoritm; CGRA; High-level Sythnesis; SiLago; Algoritm-nivå Synthesis; Constraint programmering;

    Abstract : With the increasing complexity of the chip architecture design for meeting different application requirements, the corresponding instruction scheduler of high-level synthesis tool needs to solve complex scheduling problems. Dynamically Reconfigurable Resource Array (DRRA) is a novel architecture based on Coarse-Grained Reconfigurable Architecture (CGRA) on SiLago platform, the instruction scheduler of Vesyla-II, the dedicated High-Level Synthesis (HLS) tool targets for DRRA needs to schedule the specific instruction sets designed for Distributed Two-level Control System (D2LC). READ MORE

  4. 14. Resilient Horizons: Identifying and Overcoming Disruptions in the Semiconductor Supply Chain : From Chip Woes to Chip Wows: Establishing Resilience Strategies in a World of Semiconductors

    University essay from Linköpings universitet/Logistik- och kvalitetsutveckling

    Author : Clara Hallin; Marcus Höök; [2023]
    Keywords : Resilience; Strategy; Disruption; Semiconductor; Supply Chain;

    Abstract : Disruptions such as pandemics, demand changes, and geopolitical tensions in the semiconductor supply chain are essential due to their significant impact on all industries and economies worldwide. The semiconductor industry is vital for modern technology, but disruptions can interfere with production and availability. READ MORE

  5. 15. Low-power Implementation of Neural Network Extension for RISC-V CPU

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE