Abstract: Embodiments of the present disclosure include method for optimizing an internal memory for calculation of a convolutional layer of a convolutional neural network (CNN), the method including determining a computation cost of calculating the convolutional layer using each combination of a memory management scheme of a plurality of memory management schemes and data partition sizes of input feature map (IFM) data, kernel data, and output feature map (OFM) data to be loaded in the internal memory; identifying one combination of a memory management scheme and data partition sizes having a lowest computation cost for the convolutional layer; and implementing the CNN to use the one combination for calculation of the convolutional layer.

Abstract: Embodiments of the present disclosure include method for optimizing an internal memory for calculation of a convolutional layer of a convolutional neural network (CNN), the method including determining a computation cost of calculating the convolutional layer using each combination of a memory management scheme of a plurality of memory management schemes and data partition sizes of input feature map (IFM) data, kernel data, and output feature map (OFM) data to be loaded in the internal memory; identifying one combination of a memory management scheme and data partition sizes having a lowest computation cost for the convolutional layer; and implementing the CNN to use the one combination for calculation of the convolutional layer.

Abstract: The present invention is directed to a method and system for translating a high-level language (HLL) code such as C, C++, Fortran, Java or the like into a HDL code such as Verilog or VHDL which requires no modification in the original HLL source code, while supporting a cross call between software and hardware, and even recursive calls in hardware. The system includes: a HLL-to-HLL source translator which reads user programming directive from a translation-targeted high-level language code marked with the user directive, and separates the translation-targeted high-level language code into a hardware code part and a software code part; a main compiler which compiles the software code part; a HLL-to-HDL translator which includes the front-end and middle-end of the main compiler and a HDL backend; a main core which executes the compiled software code part; and a dedicated hardware which executes the HDL code.

Abstract: The present invention is directed to a method and system for translating a high programming level language code such as C, C++, Fortran, Java or the like into a HDL code such as Verilog or VHDL. The system includes: a C-to-C source translator which reads user API from a translation-targeted high level language code marked with the user API, separates the translation-targeted high level language code into a hardware code part and a software code part, and stores the hardware code part and the software code part in separate files; a main compiler which compiles the stored software code part; a translator which translates the stored hardware code part into a HDL code including one or more block modules and one top module; a main core which executes the compiled software code part; and a dedicated hardware which executes the HDL code.

Abstract: The present invention is directed to a method and system for translating a high programming level language code such as C, C++, Fortran, Java or the like into a HDL code such as Verilog or VHDL. The system includes: a C-to-C source translator which reads user API from a translation-targeted high level language code marked with the user API, separates the translation-targeted high level language code into a hardware code part and a software code part, and stores the hardware code part and the software code part in separate files; a main compiler which compiles the stored software code part; a translator which translates the stored hardware code part into a HDL code including one or more block modules and one top module; a main core which executes the compiled software code part; and a dedicated hardware which executes the HDL code.

Abstract: The present invention is directed to a method and system for translating a high-level language (HLL) code such as C, C++, Fortran, Java or the like into a HDL code such as Verilog or VHDL which requires no modification in the original HLL source code, while supporting a cross call between software and hardware, and even recursive calls in hardware. The system includes: a HLL-to-HLL source translator which reads user programming directive from a translation-targeted high-level language code marked with the user directive, and separates the translation-targeted high-level language code into a hardware code part and a software code part; a main compiler which compiles the software code part; a HLL-to-HDL translator which includes the front-end and middle-end of the main compiler and a HDL backend; a main core which executes the compiled software code part; and a dedicated hardware which executes the HDL code.