Essays about: "computers as communication"

Showing result 1 - 5 of 131 essays containing the words computers as communication.

  1. 1. Optical Communication using Nanowires and Molecular Memory Systems

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Synkrotronljusfysik

    Author : Thomas Kjellberg Jensen; [2024]
    Keywords : neuromorphic computing; nanowire; molecular dye; DASA photoswitch; OBIC; Physics and Astronomy;

    Abstract : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. READ MORE

  2. 2. Benchmarking the request throughput of conventional API calls and gRPC : A Comparative Study of REST and gRPC

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

    Author : Johan Berg; Daniel Mebrahtu Redi; [2023]
    Keywords : REST; gRPC; JSON; Protocol Buffers; API; HTTP; Benchmark; Performance; Microservices; Network Communication; REST; gRPC; JSON; Protocol Buffers; API; HTTP; Benchmark; Prestanda; Mikrotjänster; Nätverkskommunikation;

    Abstract : As the demand for better and faster applications increase every year, so does the demand for new communication systems between computers. Today, a common method for computers and software systems to exchange information is the use of REST APIs, but there are cases where more efficient solutions are needed. In such cases, RPC can provide a solution. READ MORE

  3. 3. Design of a 13-Bit SAR ADC with kT/C noise cancellation technique

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Shashank Keerthy Kumar; [2023]
    Keywords : Technology and Engineering;

    Abstract : One of the main limitations of a Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) is the large input capacitance needed to achieve the desired performance. This large input capacitance increases the total area of the ADC and it imposes the use of a powerful buffer to drive it. READ MORE

  4. 4. Minimum Cost Distributed Computing using Sparse Matrix Factorization

    University essay from KTH/Optimeringslära och systemteori

    Author : Seif Hussein; [2023]
    Keywords : Applied mathematics; optimization; convex optimization; matrix factorization; sparse matrix factorization; distributed computing; linearly separable distributed computing; ADMM; alternating direction method of multipliers; tillämpad matematik; optimering; konvex optimering; matrisfaktorisering; gles matrisfaktorisering; distribuerade beräkningar; admm; alternating direction method of multipliers;

    Abstract : Distributed computing is an approach where computationally heavy problems are broken down into more manageable sub-tasks, which can then be distributed across a number of different computers or servers, allowing for increased efficiency through parallelization. This thesis explores an established distributed computing setting, in which the computationally heavy task involves a number of users requesting a linearly separable function to be computed across several servers. READ MORE

  5. 5. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Martin Dahl; [2023]
    Keywords : Decentralized Stochastic Gradient Descent; Decentralized Learning; Medium Access Control; Wireless Communications; Machine Learning; Imperfect Communication; Resource-Constrained; Resource Allocation; Scheduling;

    Abstract : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. READ MORE