SelfAware Compute occurs before compilation. It analyzes a program's execution pathways, separates static and variable work, and restructures the execution model for optimal performance. The resulting code then compiles normally with standard toolchains.
Massively Parallel Technologies, Inc. describes how it collects, uses, discloses, and safeguards information from website visitors and other interactions.
SelfAware Compute presents execution-pathway optimization as a way to improve data center efficiency. The approach aims to reduce unnecessary resource allocation.
SelfAware Compute introduces predictive software optimization intended to improve compute efficiency. Its Optimization Engine analyzes code and selects execution pathways before compute is spent. The company offers enterprise briefings and demonstrations by request to organizations evaluating the approach.
