Execution-based prediction using speculative slices

Speculative Execution based on Value Prediction

Semantic information based speculative parallel execution

As the number of cores within one processor will continue to increase, while per-core frequency is likely to stagnate, speculative execution in general and data value prediction in particular, will once again be a prime candidate for speeding up execution of applications with limited inherent parallelism. In order to succeed however, we need to improve the semantic information the applications ...

Crom: Faster Web Browsing Using Speculative Execution

Early web content was expressed statically, making it amenable to straightforward prefetching to reduce userperceived network delay. In contrast, today’s rich web applications often hide content behind JavaScript event handlers, confounding static prefetching techniques. Sophisticated applications use custom code to prefetch data and do other anticipatory processing, but these custom solutions ...

On the Performance Potential of Speculative Execution based on Branch and Value Prediction

Fluid Stochastic Petri Nets are used to capture the dynamic behavior of an ILP processor, and discrete-event simulation is applied to assess the performance potential of predictions and speculative execution in boosting the performance of ILP processors that fetch, issue, execute and commit a large number of instructions per cycle.

Speculative Execution for Information Agents

Practical deployments of information agents can suffer from sub-optimal performance and scalability for a number of reasons. In the case of web-based information integration, for example, data sources are remote and their latency can have a substantial effect on overall execution performance. Scalability can also be poor, since concurrent queries can cause multiple, simultaneous remote data ret...