Essays about: "Data Parallelism"

Showing result 11 - 15 of 77 essays containing the words Data Parallelism.

  1. 11. Rate Flexible Soft Decision Viterbi Decoder using SiLago

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

    Author : Naveen Bantwal Baliga; [2021]
    Keywords : SiLago; Viterbi Decoder; Rate-flexible; Soft Decision; WLAN 802.11a; Strongly Connected Trellis; CGRA; Convolution Encoding; BER; SiLago; Viterbi-avkodare; hastighetsflexibel; mjukt beslut; WLAN 802.11a; starkt kopplade trellis; CGRA; konvolutionskodning; BER;

    Abstract : The IEEE 802.11a protocol is part of the IEEE 802 protocols for implementing WLAN Wi- Fi computer communications in various frequencies. These protocols find applications worldwide, covering a wide range of devices like mobile phones, computers, laptops, household appliances, etc. READ MORE

  3. 12. Distributed Robust Learning

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

    Author : Akhil Yerrapragada; [2021]
    Keywords : Byzantine resilient decentralized training; Gradient aggregation rules; α; f Byzantine resilience; Fault tolerance; Ring all-reduce.; Byzantinsk motståndskraftig decentraliserad träning; Gradientaggregeringsregler; α; f Byzantinsk motståndskraft; Feltolerans; Ring allreducera.;

    Abstract : Accuracy obtained when training deep learning models with large amounts of data is high, however, training a model with such huge amounts of data on a single node is not feasible due to various reasons. For example, it might not be possible to fit the entire data set in the memory of a single node, training times can significantly increase since the dataset is huge. READ MORE

  4. 13. A study about differences in performance with parallel and sequential sorting algorithms

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Joel Nyholm; [2021]
    Keywords : Sorting algorithms; Operating systems; Parallelism; Performance;

    Abstract : Background: Sorting algorithms are an essential part of computer science. With the use of parallelism, these algorithms performance can improve. Objectives: To assess parallel sorting algorithms performance compared with their sequential counterparts and see what contextual factors make a difference in performance. READ MORE

  5. 14. Parallelization of Online Random Forest

    University essay from

    Author : Leonard Lindroth; [2021]
    Keywords : Online Learning; Parallelization; Online Random Forests; Machine Learning;

    Abstract : Context. Random Forests (RFs) is a very popular machine learning algorithm for mining large scale data. RFs is mainly known asan algorithm that operates in offline mode. However, in recent yearsimplementations of online random forests (ORFs) have been introduced. READ MORE

  6. 15. Comparative Study of CPU and GPGPU Implementations of the Sievesof Eratosthenes, Sundaram and Atkin

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Jakob Månsson; [2021]
    Keywords : General Purpose Graphics Processing Unit; Parallelization; Prime number; Sieve.;

    Abstract : Background. Prime numbers are integers divisible only on 1 and themselves, and one of the oldest methods of finding them is through a process known as sieving. A prime number sieving algorithm produces every prime number in a span, usually from the number 2 up to a given number n. READ MORE