In this paper, we explore the performance of the main optimising compiler toolchains currently available for high-performance AArch64 processors, namely the Arm Compiler for Linux (ACFL), GNU, LLVM and the NVIDIA HPC (NVHPC) compilers, on the recently ...

The proliferation of programmable network devices offers a wide range of device options for developers of packet processing programs. However, there are several differences in programming language usage, hardware resource constraints, and hardware ...

Code generation is one of the most valuable applications of AI, as it allows for automated programming and "self-building" programs. Both Large Language Models (LLMs) and evolutionary methods, such as Genetic Programming (GP) and Grammatical Evolution (...

We evolve survivors for the CodeGuru competition --- assembly programs that run the longest in shared memory, by resisting attacks from adversary survivors and finding their weaknesses. For evolving top-notch solvers, we specify a Backus Normal Form (BNF)...

Logging practices have been extensively investigated to assist developers in writing appropriate logging statements for documenting software behaviors. Although numerous automatic logging approaches have been proposed, their performance remains ...

Methods in question-answering (QA) that transform texts detailing processes into an intermediate code representation, subsequently executed to generate a response to the presented question, have demonstrated promising results in analyzing scientific ...

Rapid adoption of a new generation of LLMs has demonstrated their considerable capabilities. However, these models are far from infallible, raising significant ethical concerns, especially in decision-making applications, prompting calls for increased ...

Programming has been a key tool for artists and other creatives for decades, and the creative use of programming presents unique challenges, opportunities and perspectives for researchers considering how AI can be used to support coding more generally. ...

This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices & development of routing algorithms and minimizing errors. We design a set of ...

The Natural Language to Visualization (NL2Vis) task aims to transform natural-language descriptions into visual representations for a grounded table, enabling users to gain insights from vast amounts of data. Recently, many deep learning-based approaches ...

Data-parallel computations, such as linear algebra routines (BLAS) and stencil computations, constitute one of the most relevant classes in parallel computing, e.g., due to their importance for deep learning. Efficiently de-composing such computations for ...

MetaOCaml is a superset of OCaml for convenient code generation with static guarantees: the generated code is well-formed, well-typed and well-scoped, by construction. Not only the completed generated code always compiles; code fragments with a ...

Emerging data-driven applications in the embedded, e-Health, and internet of things (IoT) domain require complex on-device signal analysis and data reduction to maximize energy efficiency on these energy-constrained devices. Coarse-grained reconfigurable ...

The convergence of generative AI and web search is reshaping problem-solving for programmers. However, the lack of understanding regarding their interplay in the information-seeking process often leads programmers to perceive them as alternatives rather ...

The rapid proliferation of LLM-based programming assistants has enabled fast and accurate automatic code generation for general purpose programming languages. Domain-specific languages like Ansible, a DSL for IT Automation, have seen a lack of support ...

Code generators are frequently used when language-independent specifications are compiled into client libraries to support multiple languages. One example is the message definition specification of the Robot Operating System (ROS). This work discusses ...

Developers nowadays are increasingly turning to large language models (LLMs) like ChatGPT to assist them with coding tasks, inspired by the promise of efficiency and the advanced capabilities they offer. However, this raises important questions about the ...

Large Language Models (LLMs) perform well on basic programming problems. However, they encounter challenges when dealing with complex tasks involving the use of diverse algorithmic and data structure skills, particularly programming competition-level ...

Generative AI is changing the way developers interact with software systems, providing services that can produce and deliver new content, crafted to satisfy the actual needs of developers. For instance, developers can ask for new code directly from ...

Large language models (LLMs) have achieved exceptional performance in code generation. However, the performance remains unsatisfactory in generating library-oriented code, especially for the libraries not present in the training data of LLMs. Previous ...