Sökning: "Lieven Eeckhout"
Hittade 4 avhandlingar innehållade orden Lieven Eeckhout.
1. Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server
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
2. Profiling Methods for Memory Centric Software Performance Analysis
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
3. Efficient Memory Modeling During Simulation and Native Execution
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
4. Improving Energy-Efficiency of Multicores using First-Order Modeling
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