Memory Dependence Prediction in Multimedia Applications

We identify that a set of multimedia applications exhibit highly regular read-after-read (RAR) and read-after-write (RAW) memory dependence streams. We exploit this regularity to predict both RAW and RAR memory dependences. We also study how two previously proposed memory dependence prediction-based memory latency reduction techniques perform for this multimedia workload. In the first technique, a load can obtain a value by simply naming a preceding load (or store) with which a RAR (or RAW) dependence is predicted. The second technique speculatively converts a series of LOAD1-USE1,...,LOADN-USEN (or DEF-STORE-LOAD-USE) chains into a single

• Type: Journal
• Year: 2000
• Where: JILP
• Authors: Andreas Moshovos, Gurindar S. Sohi
• Keywords: Dependence Prediction-based Memory, JILP 2000, Memory Dependence, Memory Dependence Streams