Lunch: 12:45-1:45pm
Open House: 2:00-4:00pm
Location: 565 Soda Hall
The heart of our research agenda at the Parallel Computing Laboratory is the development of parallel software. This agenda is driven by compelling applications developed by domain experts in the many areas of expertise: applications, software engineering, programming languages, libraries, testing, operating systems, and computer architecture. We focus on exciting new applications in the areas of personal health, image retrieval, music, speech understanding, and web browsers‐ areas that need much more computing horsepower to run well, rather than on legacy programs that already run well on today's computers. The Par Lab is the result of Berkeley being the unanimous top choice by Intel and Microsoft for a $10M, 5-year Universal Parallel Computing Research Center. Our affiliate members are National Instruments, Nokia, NVIDIA, Samsung Electronics, and Sun.
List of posters:
- A RealTime, Parallel GUI Service in Tessellation ManyCore OS - Albert Kim, Juan A. Colmenares, Hilfi Alkaff, John Kubiatowicz
- Synthesizing a Parallel Web Browser Layout Engine - Leo Meyerovich
- An Automatic Parallelizing and Vectorizing Compiler for Python Loop-Nests - David Sheffield, Michael Anderson
- Enabling Specialization via MapReduce - Michael Driscoll, Penporn Koanantakool, Evangelos Georganas
- Accelerating Graph Algorithms by Software Optimization & Hardware Modification - Scott Beamer
- Characterizing Memory Hierarchies of Multicore Processors Using Microbenchmarks - Christopher Celio
- Garbage Collection on GPUs - Martin Maas, Jeffrey Morlan, Philip Reames
- Debugging SEJITS - Richard Xia, Tayfun Elmas
- Hardware Communication Channels for Quality-of-Service Enforcement - Gage Eads
- OLOV: OpenCL for OpenCV - Bor-Yiing Su
- Megh: A Cloud Backed File System - Eric Love, Nitesh Mor
- Parallelizing Machine Translation Training Pipeline with Hadoop - Chao-Yue Lai
- CDT: An interactive compiler translation debugger for SEJITS specializers - Derrick Coetzee
- PACORA: Performance-Aware Convex Optimization for Resource Allocation - Sarah Bird
- pOSKI Project Updates - Jong-Ho Byun and Richard Lin
- SEJITS in the Cloud - Peter Birsinger and Richard Xia
- Communication Costs of LU Decomposition Algorithms for Banded Matrices - Razvan Carbunescu