'Performance overhead' presentation slideshows

An Assessment OF VIRTUALIZATION SYSTEMS FOR hOSTING HPC APPLICATIONS IN CLOUD COMPUTING

An Assessment OF VIRTUALIZATION SYSTEMS FOR hOSTING HPC APPLICATIONS IN CLOUD COMPUTING. Ahmad Hassan Centre for Advanced Computing and Emerging Technologies, School of Systems Engineering, The University of Reading, UK 29-MAR-10. Agenda. Personal Portfolio Hypothesis Motivation

527 views • 52 slides

A Policy Management Framework for Content-based Publish/Subscribe Middleware

A Policy Management Framework for Content-based Publish/Subscribe Middleware. Hans-Arno Jacobsen Department of Electrical and Computer Engineering & Department of Computer Science University of Toronto. Joint work with Alex Wun. v1.1. http://www.padres.msrg.utoronto.ca. Sensor Network

354 views • 35 slides

ITAP: Idle-Time-Aware Power Management for GPU Execution Units

ITAP: Idle-Time-Aware Power Management for GPU Execution Units. Executive Summary. Motivation : GPU execution units are frequently idle Full-lane and partial-lane idleness High static power Problem : static energy represents a high percentage of the energy consumption on execution units

315 views • 31 slides

A Low Overhead Hardware Technique for Software Integrity and Confidentiality

443 views • 30 slides

CryptDB : Protecting Confidentiality with Encrypted Query Processing

CryptDB : Protecting Confidentiality with Encrypted Query Processing. Raluca Ada Popa , Catherine M. S. Redfield, Nickolai Zeldovich , and Hari Balakrishnan MIT CSAIL. Problem. Confidential data leaks from databases

692 views • 27 slides

Kypros Constantinides University of Michigan Onur Mutlu Microsoft Research

Software-Based Online Detection of Hardware Defects: Mechanisms, Architectura l Support, and Evaluation. Kypros Constantinides University of Michigan Onur Mutlu Microsoft Research Todd Austin and Valeria Bertacco University of Michigan. Reliability Challenges of Technology Scaling.

451 views • 25 slides

Dynamic Memory Management for Programmable Devices

Dynamic Memory Management for Programmable Devices. Sanjeev Kumar & Kai Li Princeton University. D. D. CPU. R. R. CPU. Mem. Mem. D. D. Programmable Devices. Main CPU. Main Memory. Bus. Network Card. Disk. Network. Move functionality from main CPUs to devices.

360 views • 22 slides

Conjoining Soft-Core FPGA Processors

Conjoining Soft-Core FPGA Processors. David Sheldon a , Rakesh Kumar b , Frank Vahid a* , Dean Tullsen b , Roman Lysecky c a Department of Computer Science and Engineering University of California, Riverside * Also with the Center for Embedded Computer Systems at UC Irvine

224 views • 22 slides

338 views • 21 slides

libperf

LightSpeed : Task Scheduling for Many-Core. Data Graph. Update Functions. Scheduling. Karl Naden ( kbn@cs.cmu.edu ) Wolfgang Richter ( wolf@cs.cmu.edu ) Ekaterina Taralova ( etaralova@cs.cmu.edu ). Introduction

131 views • 1 slides

Profiling Memory Subsystem Performance in an Advanced POWER Virtualization Environment

L2-Cache Access Resolution Site. Load Latency. 14 cycles. L2 cache. L3 cache. 91 cycles. L2.75 cache. 121 cycles. L3.75 cache. 205 cycles. LMEM. 281 cycles. RMEM. 307 cycles. 4. 1. Virtualization. Data Collection. L3. L3. DCM 0. DCM 1. APP 1 OS 1. APP 4 OS 4. APP 3 OS 3.

203 views • 1 slides

libperf

LightSpeed : Thread Scheduling for Multiple Cores. Data Graph. Update Functions. Scheduling. Karl Naden ( kbn@cs.cmu.edu ) Wolfgang Richter ( wolf@cs.cmu.edu ) Ekaterina Taralova ( etaralova@cs.cmu.edu ). Introduction

165 views • 1 slides

libperf

LightSpeed : Task Scheduling for Many-Core. Data Graph. Update Functions. Scheduling. Karl Naden ( kbn@cs.cmu.edu ) Wolfgang Richter ( wolf@cs.cmu.edu ) Ekaterina Taralova ( etaralova@cs.cmu.edu ). Introduction

189 views • 1 slides