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Hercules: A Compiler for Productive Programming of Heterogeneous Systems
hgpu.org · Hercules: A Compiler for Productive Programming of Heterogeneous SystemsModern computing systems increasingly rely on composing heterogeneous devices to improve performance and efficiency. Programming these systems is often unproductive: algorithm implementations must …
Model class diagrams and generate code from your web-browser. No need to install anything.
Try it out: https://editor.besser-pearl.org/
Some key features:
#Graphical modelling: Design models with an intuitive graphical notation.Cloud Storage: #Store your diagrams online for easy access from anywhereReal-time #collaboration: Work seamlessly with multiple users on the same model.#CodeGeneration: Automatically generate code for various technologies (e.g., databases).#OCL Integration: Define OCL constraints with of our B-OCL tool#Supports model import/export in B-UML and #JSON formats
https://modeling-languages.com/besser-graphical-modeling-editor/
GIF
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
#CUDA #CodeGeneration #LLM #DeepLearning #DL #Python #Package
hgpu.org · TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton OperatorsTriton, a high-level Python-like language designed for building efficient GPU kernels, is widely adopted in deep learning frameworks due to its portability, flexibility, and accessibility. However,…
The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition
hgpu.org · The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and CompositionRecent advances in Large Language Models have driven large-scale deployment, resulting in ever-growing inference time and energy demand. While manual optimization of low-level code implementations …
Teaching An Old Dog New Tricks: Porting Legacy Code to Heterogeneous Compute Architectures With Automated Code Translation
hgpu.org · Teaching An Old Dog New Tricks: Porting Legacy Code to Heterogeneous Compute Architectures With Automated Code TranslationLegacy codes are in ubiquitous use in scientific simulations; they are well-tested and there is significant time investment in their use. However, one challenge is the adoption of new, sometimes in…
Как работать с ошибками правильно и сделать удобным AWS SDK JS
Эта статья станет интересной не только специалистам по TypeScript, но и всем разработчикам, ищущим лучшие практики работы с ошибками в современном программировании. Вы узнаете, почему традиционный подход к работе с ошибками может тормозить разработку и как правильное разделение ожидаемых ошибок и критических дефектов значительно упрощает жизнь. Я подробно описываю, как моя реализация решает сложности AWS SDK и делает его использование более надежным. Буду рад узнать ваш подход к работе с ошибками, пишите в комментарии. Спасибо!
ХабрКак работать с ошибками правильно и сделать удобным AWS SDK JSВведение Я люблю разрабатывать Serverless решения и размещать их на AWS. А еще я пишу на TypeScript и не использую Promise почти никогда, так же как и TypeScript тип any Моя проблема и при чем тут...
GitHub Copilot Update Brings Image-Based Code Generation and Intelligent Edit Predictions #GitHub #GitHubCopilot #AICoding #DevTools #Devs #SoftwareDevelopment #CodeGeneration #AIProgramming #Microsoft
Простой TypeScript клиент для Telegram Bot Api
Я пишу на TypeScript и переодически появляется необходимость написать какой нибудь несложный чат бот для Telegram, или отправить в чат что нибудь от имени бота. И еще я фанат Serverless архитектуры. Люблю разрабатывать решения, которые работают где и когда угодно. Арендовать сервер и платить за его простой - не интересно 
От простого TypeScript клиента я хочу совсем немного:
ХабрПростой TypeScript клиент для Telegram Bot ApiМотивация к созданию библиотеки Я пишу на TypeScript и периодически появляется необходимость написать какой-нибудь несложный чат бот для Telegram, или отправить в чат что-нибудь от имени бота. И еще я...
Fully-Automated Code Generation for Efficient Computation of Sparse Matrix Permanents on GPUs
hgpu.org · Fully-Automated Code Generation for Efficient Computation of Sparse Matrix Permanents on GPUsRegisters are the fastest memory components within the GPU’s complex memory hierarchy, accessed by names rather than addresses. They are managed entirely by the compiler through a process cal…
The Rise of AI in Software Development: Are Programmers Becoming Obsolete?
As large language models (LLMs) revolutionize code generation, the role of human programmers is at a crossroads. This article explores the implications of AI-driven coding, the emergence of 'slow codi...
Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU
hgpu.org · Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPUFully homomorphic encryption (FHE) and zero-knowledge proofs (ZKPs) are emerging as solutions for data security in distributed environments. However, the widespread adoption of these encryption tec…
Navigating the Legal Minefield of LLM-Based Code Generation: Guidance for Developers
As the use of large language models (LLMs) like GitHub Copilot becomes prevalent in software development, developers face a complex legal landscape regarding copyright and code generation. This articl...
Continued thread
Building robotic systems is complex, especially when coding involves intricate movements and sensor integrations. Our team at ISE partnered with a Microsoft customer to design an AI Copilot that transforms natural language into tailored robotics code. Join us as we dive into the process and outcomes of optimizing AI-driven code generation! #CodeGeneration #Collaboration
Meet Erl: Your AI-Powered Code Generation Partner
Imagine having an AI assistant that not only generates code but also reviews it for best practices. Enter Erl, a revolutionary tool designed to enhance your development workflow and bring your coding ...
https://news.lavx.hu/article/meet-erl-your-ai-powered-code-generation-partner
Did you know that there is plenty of UML in the low-code world?
(even if it's never acknowledged, I guess due to the bad press UML has and to better justify the "innovation" of the low-code tool by selling it comes with its own languages) 
https://modeling-languages.com/there-is-a-lot-of-uml-in-low-code/
Revolutionizing REST APIs: The Rise of TypeAPI for Type-Safe Code Generation
In an era where precision and safety in code are paramount, TypeAPI emerges as a game-changer for developers. This innovative tool not only simplifies the mapping of HTTP requests but also ensures typ...
hgpu.org · HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel LanguagesLarge Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming tasks and perform poo…
hgpu.org · FortranX: Harnessing Code Generation, Portability, and Heterogeneity in FortranDue to its historical popularity, Fortran was used to implement many important scientific applications. The complexity of these applications along with the transition to modern high performance lan…