Improving CC-NUMA Performance Using Instruction-Based Prediction

We propose Instruction-based Prediction as a means to optimize directory-based cache coherent NUMA shared-memory. Instruction-based prediction is based on observing the behavior of load and store instructions in relation to coherent events and predicting their future behavior. Although this technique is well established in the uniprocessor world, it has not been widely applied for optimizing transparent shared-memory. Typically, in this environment, prediction is based on datablock access history (address-based prediction) in the form of adaptive cache coherence protocols. The advantage of instruction-based prediction is that it requires few hardware resources in the form of small prediction structures per node to match (or exceed) the performance of address-based prediction. To show the potential of instruction-based prediction we propose and evaluate three different optimizations: i) a migratory sharing optimization, ii) a wide sharing optimization, and iii) a producer-consumer opti...

• Type: Conference
• Year: 1999
• Where: HPCA
• Authors: Stefanos Kaxiras, James R. Goodman
• Keywords: Address-based Prediction, Distributed And Parallel Computing, HPCA 1999, Instruction-based Prediction, Small Prediction Structures