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 MoreIdeas
Ideas
Application 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 More2 Billion Records Point of Sales Data on iPad with SAP HANA
2 Billion Records Point of Sales Data on iPad with SAP HANA
Read MoreNext Generation Dashboard Technologies
Create Dashboard with SAP Dashi. It is a game
Read MoreBest ever NoSQL summary
Best ever summary of NoSQL from Coachbase. Interactive software (software with which a person iteratively interacts in real time) has changed in fundamental ways over the last 35 years. The “online” systems of the 1970s have, through a series of intermediate transformations, evolved into today’s Web and mobile applications. These systems solve new problems for potentially vastly larger user populations, and they execute atop a computing infrastructure that has changed even more radically over the years. The architecture…
Read MoreSteve Jobs’un Her Şey Çıplak Lansmanındaki Yorumları?
Steve Jobs’un Her Şey Çıplak Lansmanındaki Yorumları?
Read MoreH-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 MoreGPU 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…
Read MoreUçan Robotlar Tenis Oynuyor
Uçan Robotlar Tenis oynayabilir mi? Bu robotlar başka neler yapabilir?
Read MoreScalability architecture: SMP and MPP
SMP stands for symmetric multi-processing, distribution of computingworkload across a cluster of linked computers. Each node may havemultiple, multi-core processors to further parallelize processing on thatnode. Nodes may have local disk storage and also share disk storage withother nodes. A database system that runs across nodes of an SMP clusteris termed “shared disk.” It uses locks to regulate concurrent access to thedatabase, although locking is typically not a bottle-neck for read-intensivedata-analysis applications.MPP stands for massively…
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