
JIT and AOT
JIT (Just-in-time) compilers are used to improve the performance of interpreted programs. JIT compilation is about compiling a program into its code while the program
The MLIR (Multilevel Intermediate View) project is a new approach to building a reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building domain-specific compilers, and merge existing compilers. MLIR is designed for hybrid intermediate representation (IR) to support multiple different requirements in a single infrastructure.
The MLIR project defines a standard IR that brings together the infrastructure needed to run high-performance machine learning models in TensorFlow and similar ML environments. This project includes the application of HPC techniques and the integration of search algorithms such as reinforcement learning. MLIR aims to reduce the cost of new hardware implementation and improve usability for existing TensorFlow users.
The MLIR (Multilevel Intermediate View) project is a new approach to building a reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building domain-specific compilers, and merge existing compilers. MLIR is designed for hybrid intermediate representation (IR) to support multiple different requirements in a single infrastructure.
The MLIR project defines a standard IR that brings together the infrastructure needed to run high-performance machine learning models in TensorFlow and similar ML environments. This project includes the application of HPC techniques and the integration of search algorithms such as reinforcement learning. MLIR aims to reduce the cost of new hardware implementation and improve usability for existing TensorFlow users.
MLIR brings together the infrastructure for high-performance ML models in TensorFlow. The TensorFlow ecosystem contains several compilers and optimizers that operate at multiple software and hardware stack levels. We expect the gradual adoption of MLIR to simplify every aspect of this stack. ShuraCore uses the MLIR project to design compilers for the following hardware platforms:
ShuraCore team specializes in using the following frameworks and tools:
ShuraCore specializes in implementing new and modern ports: GCC, GDB, GNU libraries, Binutils, LLDB, LLVM utilities, and libraries. In addition, we are engaged in the optimization and adaptation of existing compilers for any hardware platform. Finally, the ShuraCore team provides a full range of services for the development of compilers and interpreters.
JIT (Just-in-time) compilers are used to improve the performance of interpreted programs. JIT compilation is about compiling a program into its code while the program
The front-end compiler, analyzing the source code, creates an internal representation of the program – an intermediate representation (IR). The front-end consists of three phases:
Middle-end compilers are used to optimize and analyze software source code. The range of compiler analysis and optimization has many functional differences. The scope of
The back-end compiler is responsible for specific optimization for the processor architecture and code generation for a particular architecture. Back-end design is not a trivial
The MLIR (Multilevel Intermediate View) project is a new approach to building a reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve
Hardware compilers, or synthesis tools, are compilers whose output is a description of a hardware configuration instead of a sequence of instructions. The output of
A virtual machine is a software or hardware system that emulates a particular platform’s hardware and executes programs for a target platform on a host
An interpreter is a translator whose task is to perform line-by-line analysis, process and execute the program’s source code or request. The interpreter has the
HLS (High-Level Synthesis) compilers are used to create digital devices using high-level languages. The main goal of HLS products is to simplify the FPGA and ASIC design
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Despite its name, LLVM has little to do with traditional virtual