Sökning: "Workload Characterization"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden Workload Characterization.

1. 1. Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server

   Författare :Ahsan Javed Awan; Eduard Ayguade; Mats Brorsson; Vladimir Vlassov; Lieven Eeckhout; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Workload Characterization; Big Data Analytics; Multicore Performance; Apache Spark; Near Data Processing; NUMA; Hyperthreading; Prefetchers; Coherently attached accelerators; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : The sheer increase in the volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analytics platforms for (i) exploiting data-flow and in-memory computing and (ii) for exhibiting superior scale-out performance on the commodity machines, little effort has been devoted to understanding the performance of in-memory data analytics with Spark on modern scale-up servers. LÄS MER

3. 2. Towards Low-Complexity Scalable Shared-Memory Architectures

   Författare :Håkan Zeffer; Erik Hagersten; John Carter; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; shared memory; distributed shared memory; hardware-software trade-off; software coherence; coherence profiling; remote access cache; chip multiprocessor; simultaneous multi threading; simulation; workload characterization; statistical cache model; Computer engineering; Datorteknik;

   Sammanfattning : Plentiful research has addressed low-complexity software-based shared-memory systems since the idea was first introduced more than two decades ago. However, software-coherent systems have not been very successful in the commercial marketplace. We believe there are two main reasons for this: lack of performance and/or lack of binary compatibility. LÄS MER

4. 3. Workload characterization, controller design and performance evaluation for cloud capacity autoscaling

   Författare :Ahmed Ali-Eldin Hassan; Erik Elmroth; Johan Tordsson; Prashant Shenoy; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cloud computing; autoscaling; workloads; performance modeling; controller design;

   Sammanfattning : This thesis studies cloud capacity auto-scaling, or how to provision and release re-sources to a service running in the cloud based on its actual demand using an auto-matic controller. As the performance of server systems depends on the system design,the system implementation, and the workloads the system is subjected to, we focuson these aspects with respect to designing auto-scaling algorithms. LÄS MER

5. 4. Myocardial Tissue Characterization Using Magnetic Resonance Imaging

   Författare :Sofia Kvernby; Tino Ebbers; Jan Bertus Marcel Warntjes; Jan Engvall; Agnetha Gustafsson; Per Thunberg; Linköpings universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

   Sammanfattning : In cardiovascular disease, which is the most common cause of death in the world, early diagnosis is crucial for disease outcome. Diagnosis of cardiovascular disease can be challenging, though. LÄS MER

7. 5. Performance characterization and evaluation of parallel PDE solvers

   Författare :Henrik Johansson; Jarmo Rantakokko; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

   Sammanfattning : Computer simulations that solve partial differential equations (PDEs) are common in many fields of science and engineering. To decrease the execution time of the simulations, the PDEs can be solved on parallel computers. For efficient parallel implementations, the characteristics of both the hardware and the PDE solver must be taken into account. LÄS MER