Voltage and frequency scaling techniques that are based upon monitored data are provided. The techniques may be used to better manage the power and energy consumption of a processor in an embedded system, such as a cellular telephone, personal data assistant, smart device, or the like. The techniques may be used with processors that offer a performance monitoring capability. The performance monitor may monitor thread-level utilization at runtime. Instructions per cycle and memory references per cycle are example metrics that may be monitored by the performance monitor. The voltage and frequency scaling techniques may adjust the operating voltage and operating frequency of the processor based on the values of these two metrics. For example, the techniques may include accessing a voltage and frequency scheduler lookup table. The techniques may be employed with non-embedded systems, as well, embedded systems.

Performance monitoring based dynamic voltage and frequency scaling

A method and apparatus to maintain a plurality of executables for a task in a device are described. Each executable may be capable of performing the task in response to a change in an operating environment of the device. Each executable may be executed to perform a test run of the task. Each execution can consume an amount of power under the changed operating environment in the device. One of the executables may be selected to perform the task in the future based on the amounts of power consumed for the test runs of the task. The selected one executable may require no more power than each of remaining ones of the executables.

Dynamic program evaluation for system adaptation

The present invention relates to a composite material comprising biocompatible and bioresorbable glass, a biocompatible and bioresorbable matrix polymer and a coupling agent capable of forming covalent bonds The composite is characterized in that it further comprises a compatibilizer, wherein at least 10 % of the structural units of the compatibilizer are identical to the structural units of the matrix polymer, and the molecular weight of the compatibilizer is less than 30000 g/mol The invention also relates to the use of this composite, to a medical device comprising said composite and to a method for preparing the composite

Biocompatible composite and its use

In the various aspects, virtualization techniques may be used to reduce the amount of power consumed by execution of applications by power-optimizing the code prior to execution. A dynamic binary translator operating at the machine layer may use a power consumption model to identify code segments that can benefit from optimization and to perform an instruction-sequence to instruction-sequence translation of object code to generate power-optimized object code. Execution hardware may be instrumented with additional circuitry to measure the power consumption characteristics of executing code. The power consumption models may be updated and object code may be regenerated based on the measured the power consumption characteristics of previously executed code. In an aspect, power optimization may be accomplished when the computing device is connected to a battery charger.

Dynamic power optimization for computing devices

Disclosed herein are systems and methods for multi-architecture computing. For example, in some embodiments, a computing device may include: a processor system including at least one first processing core having a first instruction set architecture (ISA), and at least one second processing core having a second ISA different from the first ISA; and a memory device coupled to the processor system, wherein the memory device has stored thereon a first binary representation of a program for the first ISA and a second binary representation of the program for the second ISA, and the memory device has stored thereon data for the program having an in-memory representation compatible with both the first ISA and the second ISA.

Systems and methods for multi-architecture computing

Methods and an apparatus for dynamic best fit compilation of mixed mode instructions are provided. In one embodiment, a provided method includes receiving a non-native software instruction at a device, generating a first native software instruction from a first instruction set based on the non-native software instruction, the generation of the first native software instruction occurring at the device, executing the first native software instruction at the device, generating a second native software instruction from a second instruction set based on the non-native software instruction, the generation of the second native software instruction occurring at the device, and executing the second native software instruction at the device.

Methods and apparatus for dynamic best fit compilation of mixed mode instructions

A compiler with power and/or energy optimization, a complementary runtime manager, and system having the compiler and/or the runtime manager are described herein.

Power and/or energy optimized compile/execution

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Methods and apparatus for dynamic best fit compilation of mixed mode instructions

Power and/or energy optimized compile/execution