Essays about: "Ze Ni"

Found 3 essays containing the words Ze Ni.

  1. 1. FPGA accelerated packet capture with eBPF : Performance considerations of using SoC FPGA accelerators for packet capturing.

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

    Author : Jakub Duchniewicz; [2022]
    Keywords : Field Programmable Gate Array; Acceleration; Networking; Embedded Linux; Field Programmable Gate Array; Field Programmable Gate Array; Acceleration; Nätverksarbete; Inbyggd Linux; sprzętowa akceleracja; sieci internetowe; wbudowany system Linux;

    Abstract : With the rise of the Internet of Things and the proliferation of embedded devices equipped with an accelerator arose a need for efficient resource utilization. Hardware acceleration is a complex topic that requires specialized domain knowledge about the platform and different trade-offs that have to be made, especially in the area of power consumption. READ MORE

  2. 2. ENSO teleconnections - Analysis of time lag between tropical Pacific sea surface temperature and climate and vegetation anomalies

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Jiri Navrátil; [2020]
    Keywords : Physical Geography and Ecosystem Analysis; ENSO; teleconnections; climate; NDVI; Earth and Environmental Sciences;

    Abstract : El Niño-Southern Oscillation (ENSO) affects weather and climate in regions spread all around the Earth via teleconnections. While quite a lot of research has been done on recognizing what regions are affected by these and what is the sign of the associated temperature, rainfall and vegetation anomalies, not that much attention has been paid to the timing of the impacts with respect to the ENSO state. READ MORE

  3. 3. Comparative Evaluation of Spark andStratosphere

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Ze Ni; [2013]
    Keywords : Parallel Computing Framework; Distributed Computing; Cluster; RDDs; PACTs.;

    Abstract : Nowadays, although MapReduce is applied to the parallel processing on big data, it has some limitations: for instance, lack of generic but efficient and richly functional primitive parallel methods, incapability of entering multiple input parameters on the entry of parallel methods, and inefficiency in the way of handling iterative algorithms. Spark and Stratosphere are developed to deal with (partly) the shortcoming of MapReduce. READ MORE