http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114510427-A

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filingDate 2022-02-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_24171bbf1c26216e85b018f5fa042746
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_18b587369e3ca45efada21ff91fc9997
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publicationDate 2022-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114510427-A
titleOfInvention A Method for Soft Error Detection in Data Streams Based on SIMD Vectorization
abstract The invention discloses a data stream soft error detection method based on SIMD vectorization. It includes the following steps: compiling the source program into intermediate code, constructing a control flow graph and analyzing the data flow instruction dependency relationship to obtain the instruction dependency sequence; applying the corresponding data vectorization method to the data, vectorizing the original data and redundant data, Obtain vector data; apply corresponding instruction vectorization methods to instructions to obtain vector instructions; apply corresponding checkpoint rules according to the checkpoints in the reinforcement strategy to generate error detection codes. The main idea of the method proposed in the present invention is to solve the problem of low efficiency of the data flow algorithm of redundant execution. According to the data and instruction method, the program is vectorized, and the program performance is improved by utilizing the hardware SIMD data parallelism. The error detection code is generated at the corresponding position to realize the function of automatic error detection, and has the advantage that the existing methods generally cannot detect the soft errors of components such as cache.
priorityDate 2022-02-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 23.