Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
US9032425B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9032425-B1 |
| Application number | US-201414259191-A |
| Country | US |
| Kind code | B1 |
| Filing date | Apr 23, 2014 |
| Priority date | Mar 12, 2014 |
| Publication date | May 12, 2015 |
| Grant date | May 12, 2015 |
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Techniques are described for utilizing synchronous APIs which normally block callers until a result is returned. In particular, the techniques described herein enable an application or other programming construct to boost performance by executing synchronous APIs (e.g., long running time APIs) within a proxy container rather than executing the synchronous APIs in the context of the application itself. Since the proxy is a separate process or thread, the caller application is thereby released from waiting for the synchronous API call and may proceed with other processing instead of waiting for the synchronous API to return. The application may then monitor the proxy to determine whether a result has been received, such as by periodically polling the proxy.
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What is claimed is: 1. A method for executing synchronous application programming interface (API) calls, said method comprising: receiving, in an application, an invocation of a synchronous application programming interface (API), wherein the synchronous API is configured to block a caller of the invocation until a result of the invocation is returned; creating a proxy by the application, the proxy configured to execute the invocation of the synchronous API; executing the invo…
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