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 is running. This compilation is also known as dynamic compilation. The advantage of a JIT compilation strategy is that it has complete knowledge of the target architecture on which the
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 is running. This compilation is also known as dynamic compilation. The advantage of a JIT compilation strategy is that it has complete knowledge of the target architecture on which the program is running. This gives the JIT system the ability to optimize the code for a specific processor.
The AOT (Ahead-of-Time) compiler is used to compile a higher-level programming language into native hardware-dependent machine code. As a result of this compilation, the binary can be executed natively. AOT compilation is the compilation of intermediate code into machine code before program execution. The main difference between AOT and JIT compilation is that native code is not generated during program execution but in advance.
ShuraCore team uses ready-made JIT and AOT compilers to improve the customer’s product. JIT and AOT are an implantation method that will allow you to reach new heights for your software. As part of this collaboration, we will create a generic JIT or AOT compiler implementation concept to use methodologies applied to improve your product and business solution. Our team is interested in creating a unique and successful JIT or AOT compiler for our customers.
AsmJit is a complete JIT and AOT assembler for the C++ language. It can generate native code for x86 and x64 architectures and supports the entire x86/x64 command set from the legacy MMX to the newest AVX512. It has a type-safe API that allows the C++ compiler to perform compile-time semantic checks even before the compiled code is generated and/or executed.
A lightweight JIT compiler based on MIR (Average Internal Representation).
Cross-platform JIT engine based on Eclipse OMR.
A small JIT engine was originally written by Adobe for Flash.
The MCJIT class is the JIT implementation for LLVM.
- GCC – libgccjit
- GNU lightning
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.
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: lexical, syntactic, and semantic analysis. Front-end compilers perform the following functions: Character table management; Data structure management; Analyzing the source code and displaying information (location, type, and scope) associated with
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 a middle-end compiler can range from a function to full software. ShuraCore development team specializes in the following areas of middle-end compilers: Optimizers Analyzers Optimizers Optimizing compilers are the backbone
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 process. The design consists of several phases that are performed to form a binary file for the target architecture. When designing a back-end compiler, it is common to distinguish the
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
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 these compilers is for hardware. An example of hardware is a field-programmable gate array (FPGA) or structural application-specific integrated circuit (ASIC). Compilers are called hardware compilers because the source code
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 platform or virtualizes a specific venue and creates environments that isolate programs and even operating systems from each other. A virtual machine also refers to the specification of some computing
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 advantage of stepping through the code without the need for compilation, which can be useful for running it on embedded platforms. Our company is engaged in porting interpreters for any
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 process. The most common task of the HLS compiler is to generate the HDL group languages (Verilog or VHDL) from the source code of the high-level languages (C/C++). Many modern implementations of HLS compilers
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 machines. The word “LLVM” itself is not an acronym. It is the full name of the project. LLVM and the GNU Compiler Collection (GCC) are compilers. The difference is that