International Business Machines Corporation

Peter W J Staar

Christoph Hermann Hagleitner

Konstantinos Bekas

Maria Gabrani

Raphael C Polig

Alessandro Curioni

Heiner Giefers

Costas Bekas

Gabriel Cuendet

The invention relates to a computer-implemented method for automatically extracting data from a digital image comprising a graphical representation of quantitative data. The method comprises: Basic graphical objects are detected and structural primitives determined comprising grouping the basic graphical objects based on geometric relations. A semantic label is assigned to each of the structural primitives. A spatial data region of the graphical representation is determined using the semantic labels of the structural primitives. Quantitative data values are extracted which are represented by structural primitives within the data region which are assigned with first semantic labels identifying the respective structural primitives to represent quantitative data. The extracted quantitative data values are provided in units of pixels according to an image coordinate system. The extracted quantitative data values are transformed from the image coordinate system to a coordinate system of physical units of the quantitative data represented by the graphical representation.

Automatic data extraction from a digital image

According to some embodiments, a computer-implemented method for performing sparse matrix dense matrix (SpMM) multiplication on a single field programmable gate array (FPGA) module comprising a k-stage pipeline is described. The method may include interleaving k-stage threads on the k-stage pipeline comprising a plurality of threads tto t, wherein a first result of thread tis ready one cycle after the first input of thread tis fed into the pipeline, and outputting a result matrix Y.

Sparse matrix multiplication using a single field programmable gate array module

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Zurich, Switzerland

Peter W J Staar