Cover Image

NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sanjel, Arun, Khanal, Bikram, Speegle, Greg, Rivas, Pablo
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tree-Based Repository Blockchain Framework for Shared Governance in Collaborative Fork Ecosystems
by: Tanvir, Razwan Ahmed, et al.
Published: (2026)

HiCR, an Abstract Model for Distributed Heterogeneous Programming
by: Martin, Sergio Miguel, et al.
Published: (2025)

CXL Shared Memory Programming: Barely Distributed and Almost Persistent
by: Xu, Yi, et al.
Published: (2024)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
by: Li, Yifei, et al.
Published: (2024)

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis
by: Zhang, Shiwei, et al.
Published: (2024)

Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi-threaded Programs
by: Fu, Xiang, et al.
Published: (2026)

Locality, Not Spectral Mixing, Governs Direct Propagation in Distributed Offline Dynamic Programming
by: Shihab, Ibne Farabi
Published: (2026)

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler
by: Zheng, Size, et al.
Published: (2025)

Graph for Science: From API based Programming to Graph Engine based Programming for HPC
by: Zhang, Yu, et al.
Published: (2023)

Solving Sequential Greedy Problems Distributedly with Sub-Logarithmic Energy Cost
by: Balliu, Alkida, et al.
Published: (2024)

Programming RISC-V accelerators via Fortran
by: Brown, Nick, et al.
Published: (2025)

Dynamic Contract Analysis for Parallel Programming Models
by: Oraji, Yussur Mustafa, et al.
Published: (2026)

VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU
by: He, Zijian, et al.
Published: (2026)

New Limits on Distributed Quantum Advantage: Dequantizing Linear Programs
by: Balliu, Alkida, et al.
Published: (2025)

Cppless: Single-Source and High-Performance Serverless Programming in C++
by: Copik, Marcin, et al.
Published: (2024)

Fine-grained MoE Load Balancing with Linear Programming
by: Zhao, Chenqi, et al.
Published: (2025)

Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures
by: Shan, Baodi, et al.
Published: (2024)

Deferred Objects to Enhance Smart Contract Programming with Optimistic Parallel Execution
by: Mitenkov, George, et al.
Published: (2024)

Developing an Interactive OpenMP Programming Book with Large Language Models
by: Yi, Xinyao, et al.
Published: (2024)

Adjusted Objects: An Efficient and Principled Approach to Scalable Programming (Extended Version)
by: Kane, Boubacar, et al.
Published: (2025)

A Unified Programming Model for Heterogeneous Computing with CPU and Accelerator Technologies
by: Xiong, Yuqing
Published: (2022)

Combining Declarative and Linear Programming for Application Management in the Cloud-Edge Continuum
by: Massa, Jacopo, et al.
Published: (2025)

AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service
by: Raj, Suman, et al.
Published: (2025)

Concurrent Scheduling of High-Level Parallel Programs on Multi-GPU Systems
by: Knorr, Fabian, et al.
Published: (2025)

Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
by: Huber, Dominik, et al.
Published: (2024)

HiRace: Accurate and Fast Source-Level Race Checking of GPU Programs
by: Jacobson, John, et al.
Published: (2024)

HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
by: Fink, Zane, et al.
Published: (2024)

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
by: Yi, Xinyao
Published: (2024)

GPU Programming for AI Workflow Development on AWS SageMaker: An Instructional Approach
by: Srinivasan, Sriram, et al.
Published: (2025)

From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization
by: Zhao, Jingyi, et al.
Published: (2026)

Mapple: A Domain-Specific Language for Mapping Distributed Programs
by: Wei, Anjiang, et al.
Published: (2025)

Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
by: Etheredge, Marlon, et al.
Published: (2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks
by: Zhou, Sicheng, et al.
Published: (2025)

Maxing Out the SVM: Performance Impact of Memory and Program Cache Sizes in the Agave Validator
by: Vural, Turan, et al.
Published: (2025)

Synthesizing Proxy Applications for MPI Programs
by: Luo, Jiyu, et al.
Published: (2023)

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing
by: Feng, Shengyu, et al.
Published: (2025)

Automated Programmatic Performance Analysis of Parallel Programs
by: Cankur, Onur, et al.
Published: (2024)

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization
by: Zhou, Yangjie, et al.
Published: (2024)

DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency
by: Ma, Haoran, et al.
Published: (2024)

Universal Dancing by Luminous Robots under Sequential Schedulers
by: Feletti, Caterina, et al.
Published: (2025)