Intel corporation (20240329997). METHODS AND APPARATUS FOR INTENTIONAL PROGRAMMING FOR HETEROGENEOUS SYSTEMS simplified abstract
Contents
METHODS AND APPARATUS FOR INTENTIONAL PROGRAMMING FOR HETEROGENEOUS SYSTEMS
Organization Name
Inventor(s)
Adam Herr of Forest Grove OR (US)
Derek Gerstmann of Del Mar CA (US)
Justin Gottschlich of Santa Clara CA (US)
Mikael Bourges-sevenier of Santa Clara CA (US)
Sridhar Sharma of Palo Alto CA (US)
METHODS AND APPARATUS FOR INTENTIONAL PROGRAMMING FOR HETEROGENEOUS SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240329997 titled 'METHODS AND APPARATUS FOR INTENTIONAL PROGRAMMING FOR HETEROGENEOUS SYSTEMS
The patent application describes a method for intentional programming for heterogeneous systems, involving the conversion of annotated code to intermediate code and then to domain-specific language (DSL) code for generating executable variants.
- Code lifter identifies annotated code for algorithms on a heterogeneous system and converts it to intermediate code.
- Domain-specific language (DSL) generator translates the intermediate code to DSL code.
- Code replacer invokes a compiler to generate executable variants based on the DSL code.
Potential Applications: - This technology can be used in software development for optimizing performance on heterogeneous systems. - It can be applied in industries such as gaming, artificial intelligence, and data processing.
Problems Solved: - Streamlining the process of programming for heterogeneous systems. - Enhancing the efficiency and performance of algorithms on different types of hardware.
Benefits: - Improved execution of algorithms on heterogeneous systems. - Simplified development process for software targeting diverse hardware configurations.
Commercial Applications: - Optimizing software performance for various devices and platforms. - Enhancing the capabilities of applications in resource-intensive industries.
Questions about intentional programming for heterogeneous systems: 1. How does intentional programming differ from traditional programming methods?
Intentional programming focuses on optimizing algorithms for specific hardware configurations, while traditional programming is more generalized.
2. What are the key advantages of using domain-specific languages in software development?
Domain-specific languages allow for more efficient and targeted programming, leading to better performance on specific systems.
Original Abstract Submitted
methods, apparatus, systems and articles of manufacture are disclosed for intentional programming for heterogeneous systems. an example apparatus includes a code lifter to identify annotated code corresponding to an algorithm to be executed on the heterogeneous system based on an identifier being associated with the annotated code, and convert the annotated code in the first representation to intermediate code in a second representation by identifying the intermediate code as having a first algorithmic intent that corresponds to a second algorithmic intent of the annotated code, a domain specific language (dsl) generator to translate the intermediate code in the second representation to dsl code in a third representation when the first algorithmic intent matches the second algorithmic intent, the third representation corresponding to a dsl representation, and a code replacer to invoke a compiler to generate an executable including variant binaries based on the dsl code.
