Integrating CUDA into a Large-Scale Commercial Database Management System Richard Wilton, Tamas Budavari, Alex Szalay – The Johns Hopkins University In a large-scale database installation where data tables are distributed across multiple servers, computational throughput can be optimized by using GPUs on each server and integrating database management with GPU resources. In the Department of Physics and Astronomy at The Johns Hopkins University, we are experimenting with a set of software tools that closely couple SQL statements…
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Real Customer cases for Enterprise software solution implementation
What is Next for CPU?
Power Wall+ Memory Wall + ILP (Instruction level parallelism) Wall= Brick Wall There are two ways to scale speed by a factor x. Scale the number of (running) cores by x Power will scale by the same factor x Scale the clock frequency f and voltage V by x Dynamic power will scale by x to the power 3 (CV2f ) Static power will scale by x (Vileakage) Total power lies somewhere in between Clock scaling is worse…
Read MoreApplication Massive Parallel Computing: Heart Surgery By A Robot Arm
Heart Surgery with Robot Arm Amazing video about new generation surgery. On other thing about this type of surgery is the computational power that is embeded in the operating unit. Actually the heart is still beating and the unit has the ability to display the beating heard as a still surface. This is just possible by Parallel Processing in the GPU. Pealing a Grape
Read MoreExadata is Still Oracle
View more from ugur candan. Oracle Exadata Database Machine – Storage, architecture, database machine Exadata for Datawarehousing – Why Exadata is not Not an Intelligent Storage Not Shared Anything Not enable High Concurrency Not support Active Datawarehousing Not provide Superior Query Performance Is Complex
Read MoreSteve Jobs’un Her Şey Çıplak Lansmanındaki Yorumları?
H-store: One Size Fits All An Idea Whose Time Has Come and Gone in RDBMS!
Michael Stonebraker has been a pioneer of data base research and technology for more than a quarter of a century. He was the main architect of the INGRES relational DBMS, the object-relational DBMS, POSTGRES, and the federated data system, Mariposa. All three prototypes were developed at the University of California at Berkeley where Stonebraker was a Professor of Computer Science for twenty five years. He is the founder of three successful Silicon Valley startups,…
Read MoreKüpten Prizmaya Dönüşüm. MIT LABs. İnanılmaz bir Hayal Gücü.!
GPU and SQL: Can GPU be used for SQL processing
A topic left unexamined in this paper is the possibility of breaking up a data set and running a query concurrently on multiple GPUs. Though there would certainly be coordination overhead, it is very likely that SQL queries could be further accelerated with such a con guration. Consider the NVIDIA Tesla S1070, a server product which contains 4 Tesla GPUs. This machine has a combined GPU throughput of 408 GB/sec, 960 streaming multiprocessors, and a…
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What is HANA? High Performance Analytic Appliance from SAP.
Here is two important presentations that would make it clear for novice or advanced colleagues. What is SAP HANA? It is a real mile stone in “in-memory computing“. Introduction to HANA in-memory from SAP It is important to understand also CEP Complex Event Processing because it will make our life easier in realizing where we are headed for future application landscape from SAP. Complex Event Prosessing View more presentations from ugur candan
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