LLVM
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Explore more → **LLVM**
What is LLVM?
LLVM is a collection of modular and reusable compiler and toolchain technologies. It's used to develop compilers, optimizers, and code generators for a wide variety of programming languages and target architectures. LLVM provides a low-level virtual instruction set (LLVM IR) that serves as an intermediate representation for compiler frontends and backends, enabling language-independent optimization and code generation.
What other technologies are related to LLVM?
LLVM Competitor Technologies
TVM
TVM is a deep learning compiler framework that aims to optimize and deploy machine learning workloads. It competes with LLVM in certain code generation and optimization scenarios, though it can also use LLVM.
Glow
Glow is a machine learning compiler that provides an alternative compilation path, sometimes competing with LLVM-based compilation.
GCC
GCC is a compiler suite that competes with LLVM's Clang in compiling various programming languages.
HIP
HIP (Heterogeneous-compute Interface for Portability) is a C++ dialect and runtime API that allows developers to write portable code that can run on both AMD and NVIDIA GPUs. It is competitive to CUDA and OpenCL.
OpenCL
OpenCL is a standard for parallel programming of heterogeneous systems, including GPUs, and offers alternative compilation and execution models to LLVM for these targets.
CUDA
CUDA is NVIDIA's parallel computing platform and programming model. It provides a complete ecosystem, including a compiler, that can compete with LLVM in certain scenarios.
MSVC
MSVC (Microsoft Visual C++ Compiler) is a C++ compiler that competes with LLVM's Clang.
Triton
Triton is a programming language and compiler designed to write efficient GPU code. It provides an alternative to CUDA and other GPU programming approaches, competing with LLVM in certain optimization tasks.
LLVM Complementary Technologies
MLIR
MLIR is a framework for building extensible compilers and related tools, deeply integrated with LLVM. It is complementary as it leverages LLVM's infrastructure.
IREE
No summary available
IREE is a compiler infrastructure focused on efficient execution of machine learning models. It leverages MLIR and thus benefits from LLVM.
Clang
Clang is a compiler front end for C, C++, Objective-C, and Objective-C++ that uses LLVM as its back end.
Which job functions commonly mention LLVM?
Machine Learning
0.5% of all Machine Learning jobs mention LLVM
View 481
jobs on Sumble
AI Engineer
0.4% of all AI Engineer jobs mention LLVM
View 336
jobs on Sumble
Software Engineer
1978 Software Engineer jobs mention LLVM
View 2k
jobs on Sumble
Engineer
2533 Engineer jobs mention LLVM
View 2.5k
jobs on Sumble
Engineering & R&D
2667 Engineering & R&D jobs mention LLVM
View 2.7k
jobs on Sumble
Which organizations are mentioning LLVM?
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