Date	Topic
9/3	Overview of DISC & class mechanics
9/10	Database Systems in a Nutshell
9/17	Distributed and Parallel Computing in a Nutshell Mini-tutorial on MapReduce and Hadoop Reading assignments: "MapReduce: Simplified Data Processing on Large Clusters" Apache Hadoop website
9/24	Mini-tutorial on GPGPU programming --- CUDA Project brainstorming Reading assignment: Parallel Programming with CUDA
10/1	Mini-tutorial on Amazon Web Services Group project meetings Reading assignment: Amazon Cloud Architectures
10/8	DISC motivation and applications
10/15	Parallel DBMSs
10/22	Parallel languages/primitives  I
10/29	Parallel languages/primitives  II  Data Stores I
11/5	Data Stores II
11/12	GPGPU programming I Project Progress reports
11/19	GPGPU programming II
11/26	Thanksgiving break
12/3	Database as a Service
12/17	Project demos & Wrap-up

DISC motivation & applications
Presentation group:  Jennie, Payman, Rahul
Readings:

• Petascale computational systems. Bell, Gray, Szalay. IEEE Computer, 2006.
• Lessons from giant-scale services. Brewer. IEEE Computer, 2001.
• Web search for a planet; the Google cluster architecture. Barroso, Dean, Hoelzle. IEEE Computer 2003.*
• The SDSS SkyServer
• LSST Data Management
• CERN LHC Data Challenge

Parallel DBMSs
Presentation group: Juexin, Qiao, Nathan, Tyler
Readings:

• Parallel Database systems: The future of high performance database processing. DeWitt and Gray. Communications of ACM 1992.*
• Chained Declustering: A New Availability Strategy for Multiprocessor Database Machines. Hsiao and DeWitt. ICDE 1990.

Parallel programming languages/primitives
Presentation group:  Brandon N, Chris, Tim, Wei, Xiyang
Readings:

• Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks. Isard et al. EuroSys, 2007.* 
• Pig Latin: A Not-So-Foreign Language for Data Processing. Olston et al. SIGMOD 2008.
• SCOPE - Easy and Efficient Parallel Processing of Massive Data Sets. Chaiken et al. VLDB 2008.
• Automatic Optimization of Parallel Dataflow Programs. Olston et al. USENIX 2008.
• Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters. Yang et al. SIGMOD, 2007.

Data stores
Presentation group:  Basia, Ning, Paul, Sanghoon, Shay, Will
Readings:

• The Google File System. Ghemawat et al. SOSP 2003. 
• Bigtable: A Distributed Storage System for Structured Data. Chang et al. OSDI 2006.*
• Dynamo: Amazon's Highly Available Key-value Store. DeCandia et al. SOSP 2007.

Massively Parallel GPGPU programming
Presentation group:  Jamie, Jesse, Kamran, Suman, Trevor
Readings:

• Parallel programming with CUDA. Tom Halfhill. Microprocessor 2008.
• Mars: A MapReduce Framework on Graphics Processors. He et al. PACT 2008. (Mars website/code)*
• Relational joins on graphics processors. He et al. SIGMOD 2008.
• NVIDIA CUDA website.

Database as a service
Presentation group:  Adam, Ahsan, Brandon D., Onur
Readings:

• PNUTS: Yahoo!’s Hosted Data Serving Platform. Cooper et al. VLDB 2008.
• Building a Database on S3. M. Brantner et al. SIGMOD 2008.*
• Providing Database as a Service. Hacigumus et al. ICDE 2002.
• Database clouds