Summary CryptOpt Automatic Optimization of Straightline Code arxiv.org
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CryptOpt is an open-source automatic optimizer for straightline code with a focus on cryptographic primitives, achieving significant speedups across platforms and using various optimization techniques and validation approaches.
Key Points
- CryptOpt is an automatic optimizer for straightline code, with a focus on cryptographic primitives.
- It uses a dynamic approach to measure execution time and a mutation-based strategy to optimize code.
- CryptOpt employs an input language that allows it to optimize large expressions, including modular arithmetic using bitwise operations.
- The tool can generate high-performance implementations for eight CPU architectures, achieving significant speedups.
- CryptOpt is open-source and has been tested on various machines and CPUs, including Intel and AMD processors.
Summaries
252 word summary
CryptOpt is an open-source automatic optimizer for straightline code, with a focus on cryptographic primitives. It uses a combinatorial optimization approach, heuristics of replacement patterns, and techniques from search-based software engineering to statically optimize small sections of code. CryptOpt can optimize large expressions including modular arithmetic using bitwise operations and can generate high-performance implementations for eight CPU architectures. It employs a validation approach to compare x86-64 assembly codes and uses a dynamic approach to measure the execution time of code with randomly selected input values. The tool consists of several components, including AssemblyLine, RegisterAllocator, MeasureSuite, Model, Bridge, and Optimizer. CryptOpt can also integrate with Fiat Cryptography to generate optimized code for postquantum and elliptic-curve cryptography. The tool was tested on various machines and CPUs, achieving speedups of up to 87% across platforms and up to 156% in single cases. CryptOpt is a tool that automatically optimizes straightline code for cryptographic primitives. The optimization process involves strength reduction and algorithmic structure optimization using peephole optimization. CryptOpt-generated code is compared to off-the-shelf compilers, and side-channel resistance is highlighted as important. The evaluation setup involves testing on eight different platforms, and the generated code varies in length and performance depending on the primitive being implemented. CryptOpt's run time and results can be improved with more advanced optimization strategies, and the tool can be generalized to other domains of compilation. Additionally, the document lists references related to program optimization, performance evaluation, and cryptographic programming, covering topics such as statistical soundness, energy optimization, and curve secp256k1 operations.
661 word summary
The excerpt is a list of references related to program optimization, performance evaluation, and cryptographic programming. Some of the highlighted key points include stochastic optimization, superoptimization, and verification of compilation with random program search. The references cover topics such as statistical soundness, energy optimization, and curve secp256k1 operations. CryptOpt is a tool for generating optimized assembly code by combining simple techniques to tackle distinctive characteristics of straightline cryptographic code. Peephole optimization is used to replace sets of existing instructions with more performant alternatives. CryptOpt overcomes limitations by first only applying a mutation locally and then measuring its (side) effects. CryptOpt's run time and results can be improved with more advanced optimization strategies. The tool can be generalized to other domains of compilation. The document discusses CryptOpt, a tool for automatically optimizing straightline code for cryptographic primitives. It compares the performance of CryptOpt-generated code to off-the-shelf compilers and highlights the importance of side-channel resistance. The optimization process involves strength reduction and algorithmic structure optimization. The length of the produced code varies depending on the machine and can take between 36 and 70 hours to generate. The evaluation setup involves testing on eight different platforms. The generated code varies in length and performance depending on the primitive being implemented. The article describes CryptOpt, an automatic optimization tool for straightline code. The tool uses a dynamic approach to measure the execution time of code with randomly selected input values. The procedure is repeated multiple times to ensure stability and provide enough granularity to detect execution time differences. The tool was tested on various machines and CPUs, including Intel and AMD processors.
The measurement process involves assessing which of two candidate variants is faster, and reducing the effects of learned execution orders by the CPU. The tool also adopts a random scheduling of program evaluation to reduce measurement drift over time.
CryptOpt uses a validation approach with two factors and compares x86-64 assembly codes. It writes the last mutation after a predefined number of mutations and proceeds to test another one. The results are then compared to decide whether to accept the mutated IR as the new base implementation.
The tool consists of several components, including AssemblyLine, RegisterAllocator, MeasureSuite, Model, Bridge, and Optimizer. The tool can modify data dependencies and change the order in which operations are implemented to optimize code. CryptOpt is a tool that automatically optimizes x86-64 assembly code generated from an input function specification. It uses a Register Allocator and an Optimizer to determine the most suitable values to spill and to generate optimized assembly code, respectively. The tool can be invoked with parameters to specify the input function and desired optimization settings. CryptOpt generates a JSON specification of the input function and a shared object from a C reference. It can also integrate with Fiat Cryptography to generate optimized code for postquantum and elliptic-curve cryptography. During optimization, the user receives regular status updates on the progress and performance gains over Clang. CryptOpt is a tool for optimizing straightline code, with a focus on cryptographic primitives such as finite-field arithmetic. It uses a user workflow that involves measuring the performance of assembly implementations and iteratively mutating the code to find a faster candidate. CryptOpt employs an input language that allows it to optimize large expressions including modular arithmetic using bitwise operations. It is open-source and can generate high-performance implementations for eight CPU architectures, achieving speedups of up to 87% across platforms and up to 156% in single cases. Cryptographic code typically follows the constant-time programming paradigm to mitigate timing side-channel attacks. CryptOpt is an automatic optimizer for long stretches of straightline code that simplifies code analysis, explores many optimization options, and utilizes techniques from the field of search-based software engineering. It recasts compilation as a combinatorial optimization problem and utilizes heuristics of replacement patterns to statically optimize small sections of code. CryptOpt achieves a speed-up factor of up to 2.56 over current off-the-shelf compilers and has been tested on eight hardware platforms.