Avancerad sökning

Hittade 4 avhandlingar som matchar ovanstående sökkriterier.

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. Profiling Methods for Memory Centric Software Performance Analysis

   Författare :David Eklöv; Erik Hagersten; Lieven Eeckhout; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Datavetenskap; Computer Science;

   Sammanfattning : To reduce latency and increase bandwidth to memory, modern microprocessors are often designed with deep memory hierarchies including several levels of caches. For such microprocessors, both the latency and the bandwidth to off-chip memory are typically about two orders of magnitude worse than the latency and bandwidth to the fastest on-chip cache. LÄS MER

4. 3. Efficient Memory Modeling During Simulation and Native Execution

   Författare :Nikos Nikoleris; Erik Hagersten; Lieven Eeckhout; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; performance analysis; cache performance; multicore performance; memory system; memory bandwidth; memory contention; performance prediction; multi-threading; multiprocessing systems; program diagnostics; commodity multicores; multithreaded program resource requirements; performance counters; scalability bottleneck; scalability improvement; Computer Science; Datavetenskap;

   Sammanfattning : Application performance on computer processors depends on a number of complex architectural and microarchitectural design decisions. Consequently, computer architects rely on performance modeling to improve future processors without building prototypes. LÄS MER

5. 4. Improving Energy-Efficiency of Multicores using First-Order Modeling

   Författare :Vasileios Spiliopoulos; Stefanos Kaxiras; Lieven Eeckhout; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Architecture; DVFS; Cache Resizing; Interval modeling; Power modeling; Computer Science; Datavetenskap;

   Sammanfattning : In the recent decades, power consumption has evolved to one of the most critical resources in a computer system. In the form of electricity bill in data centers, battery life in mobile devices, or thermal constraints in desktops and laptops, power consumption imposes several limitations in today’s processors and improving power and energy efficiency is one of the most urgent research topics of Computer Architecture. LÄS MER