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The SDK has been designed to measure and optimize application energy efficiency.
The PaaSage professional networking platform aims to support users that wish to explore, deploy, and optimize application models and components.
We present an auto-tuning approach to optimize application performance on emerging multicore architectures.
There is a need for a systematic approach to rapidly compose and optimize application specific protocol stacks in an automated fashion.
Precision agriculture involves knowledge-based technical management systems to optimize application of fertilizer, chemicals, seeds, and irrigation resources to reduce input costs and to enhance crop yield while simultaneously reducing harmful environmental impacts associated with inefficient use of agricultural inputs.
However, their design complexity is very high, and raises additional problems, i.e. the definition of a suitable programming model, an efficient memory organization, and the need for ways to optimize application performance.
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This information is essential to optimize applications, which use storage services, as well as for optimizing storage service deployments.
We've worked with VMware to optimize applications on Chrome OS, both the Android and virtualized apps.
We contend that compiler technology has to evolve to automatically optimize applications by transforming a given original program.
Considering non-memoryless failure distributions, we study a bi-objective scheduling problem of optimizing application makespan and reliability.
Precision agriculture involves the development and adoption of knowledge-based technical management systems with the goal of optimizing application of fertilizer, chemicals, seeds, and irrigation resources to reduce input costs and maximize production.
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