90 likes | 107 Views
Discover how Multicast Snooping minimizes communication overhead in cache-coherent multiprocessors, offering scalable snooping and reduced latency directories through a hybrid snoop/directory protocol.
E N D
E. Bilir, R. Dickson, Y. Hu, M. Plakal, D. Sorin, M. Hill, D. Wood Presented By Derek Hower Multicast Snooping
Why Multicast? • Goal: • Reduce communication overhead in cache coherent multiprocessors • Scalable snooping • Reduced latency directories • Solution: • Hybrid snoop/directory protocol
What is it? • Replace snooping bus with Multicast Address Network • Predict snoop transaction participants • Backup speculation with directory • Back end is Point-to-point data network (like Starfire)
The Protocol • Snooping communication only with processors thought to be involved in the transaction • assume transaction is correct until told otherwise • Incorrect predictions are handled via nack and semiack • Small, predictive, directory protocol backs up the speculative snooping
Mask Prediction • Node locality makes prediction feasible • local data (stack, some parts of the heap) • misses to the same block • Sticky-Spatial(k) prediction • Tracks block access, last invaldator • Introduced locality by using adjacent blocks in the prediction table • Possible for unrelated block to influence prediction • Memory corrects mistakes
Address Network • Built as a fat tree (Modified Isotach) • Total ordering accomplished with timestamps • no need for synchronized delivery • Capable of multiple broadcasts in parallel
Evaluation • “Big picture” simulations • mean number of sharers • prediction capability • mask set size • network availability • Simulated a MSI (not MOSI) protocol • only hurts results
Results • Prediction accuracy: 73 – 95% • Avg. Nodes in Multicast: 2.4 – 5.6 (out of 32) • Avg. excess nodes predicted: 0.3 – 3.4 • Implementation better than half of optimal
Deep Thinking • Evaluation of specifics • Timing: what if time to traverse fat tree overwhelms the benefits of decreased communication? • Complexity • What is the range (in system size) for which the benefits of multicast networking overcome complexity • Much room for improvement: • Better prediction • Smarter address network