Title
Intelligent Speculative Compiler Optimizations: A Conceptual Framework and its Application to the Optimization of Memory Accesse,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Modern compilers try to optimize programs with respect to a given objective, for example, program performance or memory consumption. The optimizations typically rely on information that is only available at runtime and therefore has to be overapproximated by the compiler. This may severely limit the optimization opportunities and, thus, the runtime performance. In this dissertation, we present our framework for intelligent speculative compiler optimizations. The framework uses machine learning to provide compilers with knowledge about the runtime behavior of programs to bridge the gap between static program analyses and dynamic program behavior. This solves the problem of overapproximation and increases the optimization potential. The framework is applicable to a wide range of program behavior and program optimizations. We describe its application to the optimization of memory accesses, which is highly relevant due to the memory gap. We present experimental results for the Intel(tm) Itanium2(tm) processor. The results show that the regarded program behavior, load latencies and memory dependence probabilities, were successfully learned and that program performance was improved.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.