List of Interesting ideas and Views:
- Internet Of Agents (IoA)
- SAP TechEd 2025 session on “Extending SAP Joule with Joule Studio”
- What should be next for AI in Enterprise level: Hear Sam Altman and Ali Ghodsi talk about it.
- Who are the winners of last 24 months for investors? Nvidia, Bitcoin, Gold, US30…
- Joule Analytical Insights & “Just Ask” Best Practices
- Michael Saylor’s Prophecy About Crypto Currency
- SAP Rise & Grow and AI Platform Technologies – Some ideas
- Statistical Consequences of Fat Tails: Real World Preasymptotics
- Should you keep the first Envelope or change? Choice between “Two Envelopes Paradox”
- Tesla SpaceX and Some notes on Future
- Kelly Criteria – Proof using Calculus Knowledge
- Next Generation of Financial Markets for Traders–A Must Read List
- Edward Thorp who beat the dealer, and later, beat the market
- Prediction Markets–If it is not trading what is it?
- Why does XM (Exprience Management) matter?
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,...
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...
Uçan Robotlar Tenis Oynuyor
Uçan Robotlar Tenis oynayabilir mi? Bu robotlar başka neler yapabilir?
Scalability 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...
