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The WaveScalar is the first DataFlow Architecture that can efficientlyprovide the sequential memory semantics required by imperative languages. Thiswork presents an alternative memory ordering mechanism for this architecture,the Transaction WaveCache. Our mechanism maintains the execution order ofmemory operations within blocks of code, called Waves, but adds the ability tospeculatively execute, out-of-order, operations from different waves. Thisordering mechanism is inspired by progress in supporting TransactionalMemories. Waves are considered as atomic regions and executed as nestedtransactions. If a wave has finished the execution of all its memoryoperations, as soon as the previous waves are committed, it can be committed.If a hazard is detected in a speculative Wave, all the following Waves(children) are aborted and re-executed. We evaluate the WaveCache on a setartificial benchmarks. If the benchmark does not access memory often, we couldachieve speedups of around 90%. Speedups of 33.1% and 24% were observed on morememory intensive applications, and slowdowns up to 16% arise if memorybandwidth is a bottleneck. For an application full of WAW, WAR and RAW hazards,a speedup of 139.7% was verified.

Transactional WaveCache: Towards Speculative and Out-of-Order DataFlow Execution of Memory Operations