Results 11 to 20 of about 553,982 (390)
A Survey on Compiler Autotuning using Machine Learning [PDF]
ACM Computing Surveys, 2018 Since the mid-1990s, researchers have been trying to use machine-learning based approaches to solve a number of different compiler optimization problems.
Ashouri, Amir H. +4 more
core +2 more sources
Compilable Neural Code Generation with Compiler Feedback [PDF]
Findings, 2022 Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated software engineering. Existing deep-learning approaches model code generation as
Xin Wang +9 more
semanticscholar +1 more source
Code Translation with Compiler Representations [PDF]
International Conference on Learning Representations, 2022 In this paper, we leverage low-level compiler intermediate representations (IR) to improve code translation. Traditional transpilers rely on syntactic information and handcrafted rules, which limits their applicability and produces unnatural-looking code.
Marc Szafraniec +4 more
semanticscholar +1 more source
t|ket⟩: a retargetable compiler for NISQ devices [PDF]
Quantum Science and Technology, 2020 We present t|ket⟩, a quantum software development platform produced by Cambridge Quantum Computing Ltd. The heart of t|ket⟩ is a language-agnostic optimising compiler designed to generate code for a variety of NISQ devices, which has several features ...
Seyon Sivarajah +5 more
semanticscholar +1 more source
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research [PDF]
IEEE/ACM International Symposium on Code Generation and Optimization, 2021 Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier.
Chris Cummins +11 more
semanticscholar +1 more source
A compiler infrastructure for accelerator generators [PDF]
International Conference on Architectural Support for Programming Languages and Operating Systems, 2021 We present Calyx, a new intermediate language (IL) for compiling high-level programs into hardware designs. Calyx combines a hardware-like structural language with a software-like control flow representation with loops and conditionals.
Rachit Nigam +3 more
semanticscholar +1 more source
The Deep Learning Compiler: A Comprehensive Survey [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2020 The difficulty of deploying various deep learning (DL) models on diverse DL hardware has boosted the research and development of DL compilers in the community. Several DL compilers have been proposed from both industry and academia such as Tensorflow XLA
Mingzhen Li +7 more
semanticscholar +1 more source
Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers [PDF]
International Conference on Architectural Support for Programming Languages and Operating Systems, 2019 A massive gap exists between current quantum computing (QC) prototypes, and the size and scale required for many proposed QC algorithms. Current QC implementations are prone to noise and variability which affect their reliability, and yet with less than ...
Prakash Murali +4 more
semanticscholar +1 more source
Compiler Design for Distributed Quantum Computing [PDF]
IEEE Transactions on Quantum Engineering, 2020 In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units can communicate and cooperate for executing computational tasks that single, noisy ...
Davide Ferrari +3 more
semanticscholar +1 more source
Random Compiler for Fast Hamiltonian Simulation. [PDF]
Physical Review Letters, 2018 The dynamics of a quantum system can be simulated using a quantum computer by breaking down the unitary into a quantum circuit of one and two qubit gates.
E. Campbell
semanticscholar +1 more source