Develop platform where
any Custom Processor is designed
just using SW program (C/C++).
SW/HW cooperation for easier
designing, debugging, and expansion
with making use of SW flexibility.
HW~SW System designing of RISC-V
processor, biometrics,
DNN accelerator and so on.
In rapidly expanding AI, IoT, automation era, more and more customized SoC and speedy designing are required. However, designing custom processor needs professional skills and knowledgement and costs a lot.
Our laboratory focuses on researches on SoC design methodology, such as CAD tool called C2RTL which automatically generate RTL code just from C/C++ code that describes the behavior of custom processor you want such as RISC-V CPU core, NN accelerator, and so on. It also provides register-level debugging information graphically. We aim to develop comprehensive SoC designing platform where hardware (HW) is designed flexibly and readable like software (SW).
In parallel with the C2RTL, we also do researches on application-oriented custom SoC architecture design, such as Deep learning Neural Networks accelerator, Multicore processors architectures, vector processing unit (VPU), information security and biometrics like speach and fingerprint recognition, etc, which are all dedicate to specific applications.
Develop platform where any
Custom Processor is designed
just using SW program (C/C++).
SW/HW cooperation for easier designing, debugging, and expansion with making use of SW flexibility.
HW~SW System designing of RISC-V processor, biometrics, DNN accelerator and so on.
In rapidly expanding AI, IoT, automation era, more and more customized SoC and speedy designing are required. However, designing custom processor needs professional skills and knowledgement and costs a lot.
Our laboratory focuses on researches on SoC design methodology, such as CAD tool called C2RTL which automatically generate RTL code just from C/C++ code that describes the behavior of custom processor you want such as RISC-V CPU core, NN accelerator, and so on. It also provides register-level debugging information graphically. We aim to develop comprehensive SoC designing platform where hardware (HW) is designed flexibly, verifiable and readable like software (SW).
In parallel with the C2RTL, we also do researches on application-oriented custom SoC architecture design, such as Deep learning Neural Networks accelerator, Multicore processors architectures, vector processing unit (VPU), information security and biometrics like speach and fingerprint recognition, etc, which are all dedicate to specific applications.
Develop platform where any Custom Processor is designed just using SW program (C/C++).
SW/HW cooperation for easier designing, debugging, and expansion with making use of SW flexibility.
HW~SW System designing of RISC-V processor, biometrics, DNN accelerator and so on.
In rapidly expanding AI, IoT, automation era, more and more customized SoC and speedy designing are required. However, designing custom processor needs professional skills and knowledgement and costs a lot.
Our laboratory focuses on researches on SoC design methodology, such as CAD tool called C2RTL which automatically generate RTL code just from C/C++ code that describes the behavior of custom processor you want such as RISC-V CPU core, NN accelerator, and so on. It also provides register-level debugging information graphically. We aim to develop comprehensive SoC designing platform where hardware (HW) is designed flexibly, verifiable and readable like software (SW).
In parallel with the C2RTL, we also do researches on application-oriented custom SoC architecture design, such as Deep learning Neural Networks accelerator, Multicore processors architectures, vector processing unit (VPU), information security and biometrics like speach and fingerprint recognition, etc, which are all dedicate to specific applications.
Develop platform where any Custom Processor is designed just using SW program (C/C++).
SW/HW cooperation for easier designing, debugging, and expansion with making use of SW flexibility.
HW~SW System designing of RISC-V processor, biometrics, DNN accelerator and so on.
In rapidly expanding AI, IoT, automation era, more and more customized SoC and speedy designing are required. However, designing custom processor needs professional skills and knowledgement and costs a lot.
Our laboratory focuses on researches on SoC design methodology, such as CAD tool called C2RTL which automatically generate RTL code just from C/C++ code that describes the behavior of custom processor you want such as RISC-V CPU core, NN accelerator, and so on. It also provides register-level debugging information graphically. We aim to develop comprehensive SoC designing platform where hardware (HW) is designed flexibly, verifiable and readable like software (SW).
In parallel with the C2RTL, we also do researches on application-oriented custom SoC architecture design, such as Deep learning Neural Networks accelerator, Multicore processors architectures, vector processing unit (VPU), information security and biometrics like speach and fingerprint recognition, etc, which are all dedicate to specific applications.
Develop platform where any Custom Processor is designed just using SW program (C/C++).
SW/HW cooperation for easier designing, debugging, and expansion with making use of SW flexibility.
HW~SW System designing of RISC-V processor, biometrics, DNN accelerator and so on.
In rapidly expanding AI, IoT, automation era, more and more customized SoC and speedy designing are required. However, designing custom processor needs professional skills and knowledgement and costs a lot.
Our laboratory focuses on researches on SoC design methodology, such as CAD tool called C2RTL which automatically generate RTL code just from C/C++ code that describes the behavior of custom processor you want such as RISC-V CPU core, NN accelerator, and so on. It also provides register-level debugging information graphically. We aim to develop comprehensive SoC designing platform where hardware (HW) is designed flexibly, verifiable and readable like software (SW).
In parallel with the C2RTL, we also do researches on application-oriented custom SoC architecture design, such as Deep learning Neural Networks accelerator, Multicore processors architectures, vector processing unit (VPU), information security and biometrics like speach and fingerprint recognition, etc, which are all dedicate to specific applications.
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