SEARCH
ISTC-CC NEWSLETTER
RESEARCH HIGHLIGHTS
Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
ISTC-CC 2012 Retreat: Talks
THURSDAY NOV 29 | FRIDAY NOV 30
links to slides will be added as they become available
THURSDAY, november 29, 2012
Welcome -
Jeff Parkhurst (Intel, Program Director for ISTC-CC)
Welcome to the 2nd Annual ISTC-CC Retreat
Wen-Hann Wang (Intel Labs, Executive Sponsor for ISTC-CC)
Opening Remarks
Phil Gibbons (Intel-PI) / Greg Ganger(CMU-PI)
Center Overview
Keynote 1:
Balint Fleischer (Intel Data Center Group, General Manager)
Clumpy Data Centers
Research Talks Session 1:
Garth Gibson (CMU)
Convergence of BigData Infrastructure for HPC and
Internet Services
Carlos Guestrin (CMU/Washington)
GraphLab2: A Distributed Abstraction for Large-Scale Machine Learning
Ganesh Ananthanarayanan (UC Berkeley, PhD student)
PACMan: Coordinated Memory Caching for Parallel
Analytics Jobs
Research Talks Session 2:
Onur Mutlu (CMU)
Architecting and Exploiting Asymmetry to Accelerate Bottlenecks in the Cloud
Ada Gavrilovska (GA Tech)
Virtual Platforms: Hypervisor-level Support for Increased Consolidation
Dave Andersen (CMU)
We’re Still Having FAWN
FRIDAY, november 30, 2012
Welcome - Jeff Parkhurst / Phil Gibbons / Greg Ganger
Keynote 2:
Das Kamhout (Intel, IT Cloud Lead, Principal Engineer)
Experiences from Intel IT
Research Talks Session 3:
Ion Stoica (UC Berkeley)
Spark, Shark, and BlinkDB
Mike Freedman (Princeton)
Performance Isolation and Fairness for Multi-Tenant
Cloud Storage
Research Talks Session 4:
Margaret Martonosi (Princeton)
Heterogeneous Parallelism and GPU Offloading:
Optimization
and Synchronization Challenges
Pieter Simoens (CMU, Post-doc)
Beyond Offload: Cloudlets for Large-Scale Video Upload
Research Talks Session 5:
Jim Cipar (CMU, PhD student)
Exploiting Data Staleness for High-performance
Machine Learning
Hrishi Amur (GA Tech, PhD student)
Memory-Efficient GroupBy-Aggregate using Compressed Buffer Trees
Ted Willke (Intel Labs, SAL, Principal Engineer)
GraphBuilder: A SAL/ISTC-CC Collaboration Story
