1. Parallel Databases @ Home Qiong Luo Hong Kong University of Science & Technology http://www.cse.ust.hk/~luo

2. GongshowQiong Luo @ CIDR 20072 Parallel Databases Future of high performance computing [DeWitt and Gray, CACM 1992] Parallelism metrics: scaleup and speedup Parallel architectures: Shared-memory, shared- disk, shared-nothing Pipelined and partitioned parallelism Intra-operator parallelism: split and merge Specialized parallel operators All systems in this era ran in (super-)computer labs.

3. GongshowQiong Luo @ CIDR 20073 Volunteer Computing @ Home A bunch of distributed computing projects utilizing home PCs over the Internet (2000-) SETI@home, 3 million users, TFLOPS-PFLOPS folding@home Einstein@home LHC@home Predictor@home Rosetta@home … All tasks are running on private computers at volunteers’ homes.

4. GongshowQiong Luo @ CIDR 20074 Current Parallel Processors @ Home CUDA NVDIA GeForce 8800 video cards (Nov 06) 16 SIMD multiprocessors, each of eight processors Over 300 GFLOPS (10 X Intel 3.0GHz Core 2 Duo) CBEA (The Cell Architecture by STI) Sony Playstation3 game console (Oct 06) One Power Processing Element (PPE) Eight Synergistic Processing Elements (SPEs) Commodity processors with massive parallel processing power

5. GongshowQiong Luo @ CIDR 20075 Parallel Query Processing @ Home ? There are probably applications for it. We might or might not need a full-fledged parallel database system. There will be a learning curve for the emerging hardware architectures. The @home computing paradigm requires us to rethink many issues. There is a wealth of literature on parallelDB. Comments are welcome!