We are working on a number of different usage patterns for multi-core processing. Our first attempt is at fireAllRules batch processing (no rule chaining) of 1000 facts against increasing 12, 48, 192, and 768 rules - one join per rule. The break even point is around 48 rules. Below 48 rules the running time was less than 100ms and the thread co-ordination costs starts to cancel out the advantage. But after 48 rules, things get better, much faster.
The running machine is 12 cores, which we put into 12 partitions and rules are evenly split across partitions. This is all organised by the engine, and not end user code. There are still a lot more improvements we can do, to get more optimal rule to partition assignment and to avoid sending all data to all partitions.
Next we'll be turning out attention to long running fireUntilHalt stream use cases.
We don't have any code yet that others can run, as it's still a bit of hack. But as we progress, we'll tidy things up and try and get it so others can try it.
Smaller is better (ms/op)
The running machine is 12 cores, which we put into 12 partitions and rules are evenly split across partitions. This is all organised by the engine, and not end user code. There are still a lot more improvements we can do, to get more optimal rule to partition assignment and to avoid sending all data to all partitions.
Next we'll be turning out attention to long running fireUntilHalt stream use cases.
We don't have any code yet that others can run, as it's still a bit of hack. But as we progress, we'll tidy things up and try and get it so others can try it.
nice blog and your informations are more impressive to me.Thanks for sharing this with us.
ReplyDeleteHadoop Training in Chennai
Big data training in chennai
Big Data Course in Chennai
JAVA Training in Chennai
Python Training in Chennai
Selenium Training in Chennai
Hadoop training in chennai
Big data training in chennai
hadoop training in Velachery
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. big data projects for students But it’s not the amount of data that’s important. Project Center in Chennai It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
DeleteSpring Framework has already made serious inroads as an integrated technology stack for building user-facing applications. Corporate TRaining Spring Framework the authors explore the idea of using Java in Big Data platforms.
Specifically, Spring Framework provides various tasks are geared around preparing data for further analysis and visualization. Spring Training in Chennai
The Angular Training covers a wide range of topics including Components, Angular Directives, Angular Services, Pipes, security fundamentals, Routing, and Angular programmability. The new Angular TRaining will lay the foundation you need to specialise in Single Page Application developer. Angular Training
I have been continuously reading all your post. Keep doing more. Waiting for more.
ReplyDeleteSpoken English Classes in Chennai
Spoken English Class in Chennai
Spoken English in Chennai
IELTS Training in Chennai
IELTS Chennai
Best English Speaking Classes in Mumbai
Spoken English Classes in Mumbai
IELTS Mumbai
IELTS Center in Mumbai
IELTS Coaching in Anna Nagar
There are a few candy machines promptly accessible in the market which offer things like confections, sustenances, espresso and so on. machine learning course
ReplyDeleteSurface preparation and bonding techniques have been discussed under the following three topics namely 1. Backing, base or carrier material. 2. Bonding material or cement. 3. Surface preparation and mounting of strain gauges.digital force gauge
ReplyDeleteĐại lý vé máy bay Aivivu, tham khảo:
ReplyDeletevé máy bay đi Mỹ bao nhiêu tiền
thời gian bay từ los angeles về việt nam
giá vé máy bay từ anh về việt nam
lịch bay từ pháp về việt nam