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Explore principles and practices of multicore programming, concurrency jargon, parallel primality testing, load balancing, and shared counters in a multiprocessor system. Learn about synchronization, models, algorithms, and real-world programming complexities. Follow a roadmap focusing on correctness and efficiency in parallel computation. Discover the impact of Moore's Law evolution and multicore processors, including the challenges of scaling and exploiting concurrency in software development.
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CS1760 Multiprocessor Synchronization
Staff Maurice Herlihy (instructor) Daniel Engel (grad TA) Jonathan Lister (HTA) BhrathKayyer (UTA) Art of Multiprocessor Programming
Grading 8 Homeworks (40%) 5 programming assignments (20%) 3 Midterms (40%) Art of Multiprocessor Programming
Collaboration Permitted talking about the homework problems with other students; using other textbooks; using the Internet. NOT Permitted obtaining the answer directly from anyone or anything else in any form. Art of Multiprocessor Programming
Capstone Yes, you can take this course as a capstone course Only one project possible (concurrent packet filter) Requires reading ahead of the course See web page for details Art of Multiprocessor Programming
See Course Web Page for … TA Hours Piazza Other important matters Art of Multiprocessor Programming
Moore’s Law Transistor count still rising Clock speed flattening sharply Art of Multiprocessor Programming 7
Moore’s Law (in practice) Art of Multiprocessor Programming
Extinct: the Uniprocesor cpu memory Art of Multiprocessor Programming 9
Extinct: The Shared Memory Multiprocessor(SMP) cache cache cache Bus Bus shared memory Art of Multiprocessor Programming 10
The New Boss: The Multicore Processor(CMP) Sun T2000 Niagara All on the same chip cache cache cache Bus Bus shared memory Art of Multiprocessor Programming 11
From the 2008 press… …Intel has announced a press conference in San Francisco on November 17th, where it will officially launch the Core i7 Nehalem processor… …Sun’s next generation Enterprise T5140 and T5240 servers, based on the 3rd Generation UltraSPARC T2 Plus processor, were releasedtwo days ago… Art of Multiprocessor Programming 12
Why is Kunle Smiling? Niagara 1 Art of Multiprocessor Programming 13
Why do we care? Time no longer cures software bloat The “free ride” is over When you double your program’s path length You can’t just wait 6 months Your software must somehow exploit twice as much concurrency Art of Multiprocessor Programming 14
Traditional Scaling Process 7x Speedup 3.6x 1.8x User code Traditional Uniprocessor Time: Moore’s law Art of Multiprocessor Programming 15
7x 3.6x Speedup 1.8x Ideal Scaling Process User code Multicore Unfortunately, not so simple… Art of Multiprocessor Programming 16
Actual Scaling Process Speedup 2.9x 2x 1.8x User code Multicore Parallelization and Synchronization require great care… Art of Multiprocessor Programming 17
Multicore Programming:Course Overview Fundamentals Models, algorithms, impossibility Real-World programming Architectures Techniques Art of Multiprocessor Programming 18
Sequential Computation thread memory object object Art of Multiprocessor Programming 19
Concurrent Computation threads memory object object Art of Multiprocessor Programming 20
Asynchrony Sudden unpredictable delays Cache misses (short) Page faults (long) Scheduling quantum used up (really long) Art of Multiprocessor Programming 21
Model Summary Multiple threads Sometimes called processes Single shared memory Objects live in memory Unpredictable asynchronous delays Art of Multiprocessor Programming 22
Road Map We are going to focus on principles first, then practice Start with idealized models Look at simplistic problems Emphasize correctness over pragmatism “Correctness may be theoretical, but incorrectness has practical impact” Art of Multiprocessor Programming 23
Concurrency Jargon Hardware Processors Software Threads, processes Sometimes OK to confuse them, sometimes not. Art of Multiprocessor Programming 24
Parallel Primality Testing Challenge Print primes from 1 to 1010 Given Ten-processor multiprocessor One thread per processor Goal Get ten-fold speedup (or close) Art of Multiprocessor Programming 25
Load Balancing Split the work evenly Each thread tests range of 109 1 1010 109 2·109 … … P0 P1 P9 Art of Multiprocessor Programming 26
Procedure for Thread i voidprimePrint { inti = ThreadID.get(); // IDs in {0..9} for(j = i*109+1, j<(i+1)*109; j++) { if(isPrime(j)) print(j); } } Art of Multiprocessor Programming 27
Issues Higher ranges have fewer primes Yet larger numbers harder to test Thread workloads Uneven Hard to predict Art of Multiprocessor Programming 28
Issues Higher ranges have fewer primes Yet larger numbers harder to test Thread workloads Uneven Hard to predict Need dynamic load balancing rejected Art of Multiprocessor Programming 29
Shared Counter 19 each thread takes a number 18 17 Art of Multiprocessor Programming 30
Procedure for Thread i int counter = new Counter(1); voidprimePrint { long j = 0; while (j < 1010) { j = counter.getAndIncrement(); if (isPrime(j)) print(j); } } Art of Multiprocessor Programming 31
Procedure for Thread i Counter counter = new Counter(1); void primePrint { long j = 0; while (j < 1010) { j = counter.getAndIncrement(); if (isPrime(j)) print(j); } } Shared counter object Art of Multiprocessor Programming 32
Where Things Reside cache cache cache Bus Bus voidprimePrint { inti = ThreadID.get(); // IDs in {0..9} for(j = i*109+1, j<(i+1)*109; j++) { if(isPrime(j)) print(j); } } Local variables code shared memory 1 shared counter Art of Multiprocessor Programming 33
Procedure for Thread i Counter counter = new Counter(1); void primePrint { long j = 0; while (j < 1010) { j = counter.getAndIncrement(); if (isPrime(j)) print(j); } } Stop when every value taken Art of Multiprocessor Programming 34
Procedure for Thread i Counter counter = new Counter(1); void primePrint { long j = 0; while (j < 1010) { j =counter.getAndIncrement(); if (isPrime(j)) print(j); } } Increment & return each new value Art of Multiprocessor Programming 35
Counter Implementation public class Counter{ private long value; public long getAndIncrement() { return value++; } } Art of Multiprocessor Programming 36
Counter Implementation public class Counter { private long value; public longgetAndIncrement() { return value++; } } OK for single thread, not for concurrent threads Art of Multiprocessor Programming 37
What It Means public class Counter { private long value; public longgetAndIncrement() { return value++; } } Art of Multiprocessor Programming 38
What It Means public class Counter { private long value; public long getAndIncrement() { return value++; } } temp = value; value = temp + 1; return temp; Art of Multiprocessor Programming 39
Not so good… time Value… 1 2 3 2 read 1 write 2 read 2 write 3 read 1 write 2 Art of Multiprocessor Programming 40
Is this problem inherent? !! !! write read read write If we could only glue reads and writes together… Art of Multiprocessor Programming 41
Challenge public class Counter { private long value; public longgetAndIncrement() { temp = value; value = temp + 1; return temp; } } Art of Multiprocessor Programming 42
Challenge public class Counter { private long value; public long getAndIncrement() { temp = value; value = temp + 1; return temp; } } Make these steps atomic (indivisible) Art of Multiprocessor Programming 43
Hardware Solution public class Counter { private long value; public long getAndIncrement() { temp = value; value = temp + 1; return temp; } } ReadModifyWrite() instruction Art of Multiprocessor Programming 44
An Aside: Java™ public class Counter { private long value; public longgetAndIncrement() { synchronized{ temp = value; value = temp + 1; } return temp; } } Art of Multiprocessor Programming 45
An Aside: Java™ public class Counter { private long value; public long getAndIncrement() { synchronized{ temp = value; value = temp + 1; } return temp; } } Synchronized block Art of Multiprocessor Programming 46
An Aside: Java™ public class Counter { private long value; public long getAndIncrement() { synchronized { temp = value; value = temp + 1; } return temp; } } Mutual Exclusion Art of Multiprocessor Programming 47
Mutual Exclusion,or “Alice & Bob share a pond” A B Art of Multiprocessor Programming 48
Alice has a pet A B Art of Multiprocessor Programming 49
Bob has a pet A B Art of Multiprocessor Programming 50