OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms
Fuente:
arXiv
Saved in:
| Main Authors: | Bhattacharjee, Arijit, TehraniJamsaz, Ali, Chen, Le, Hasabnis, Niranjan, Capota, Mihai, Ahmed, Nesreen, Jannesari, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
by: TehraniJamsaz, Ali, et al.
Published: (2024)
by: TehraniJamsaz, Ali, et al.
Published: (2024)
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
by: Chen, Le, et al.
Published: (2024)
by: Chen, Le, et al.
Published: (2024)
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR
by: Karchi, Jad El, et al.
Published: (2024)
by: Karchi, Jad El, et al.
Published: (2024)
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations
by: Dutta, Akash, et al.
Published: (2024)
by: Dutta, Akash, et al.
Published: (2024)
Can Large Language Models Predict Parallel Code Performance?
by: Bolet, Gregory, et al.
Published: (2025)
by: Bolet, Gregory, et al.
Published: (2025)
GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)
by: Suvarna, M., et al.
Published: (2025)
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025)
by: Dutt, Anurag, et al.
Published: (2025)
Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
by: Bolet, Gregory, et al.
Published: (2025)
by: Bolet, Gregory, et al.
Published: (2025)
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
by: Sarkar, Aishwarya, et al.
Published: (2024)
by: Sarkar, Aishwarya, et al.
Published: (2024)
Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
by: Lacey, Dane C., et al.
Published: (2024)
by: Lacey, Dane C., et al.
Published: (2024)
DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System
by: Rashid, Md Hasanur, et al.
Published: (2026)
by: Rashid, Md Hasanur, et al.
Published: (2026)
On Orchestrating Parallel Broadcasts for Distributed Ledgers
by: Sheng, Peiyao, et al.
Published: (2024)
by: Sheng, Peiyao, et al.
Published: (2024)
Automated Programmatic Performance Analysis of Parallel Programs
by: Cankur, Onur, et al.
Published: (2024)
by: Cankur, Onur, et al.
Published: (2024)
Optimal Parallel Scheduling under Concave Speedup Functions
by: Li, Chengzhang, et al.
Published: (2025)
by: Li, Chengzhang, et al.
Published: (2025)
Recorder: Comprehensive Parallel I/O Tracing and Analysis
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
ParaLog: Consistent Host-side Logging for Parallel Checkpoints
by: Chien, Steven W. D., et al.
Published: (2024)
by: Chien, Steven W. D., et al.
Published: (2024)
Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs
by: Lurati, Milo, et al.
Published: (2024)
by: Lurati, Milo, et al.
Published: (2024)
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
by: Katagiri, Takahiro, et al.
Published: (2024)
by: Katagiri, Takahiro, et al.
Published: (2024)
Automated Calibration of Parallel and Distributed Computing Simulators: A Case Study
by: McDonald, Jesse, et al.
Published: (2024)
by: McDonald, Jesse, et al.
Published: (2024)
Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing
by: Wang, Yuxin, et al.
Published: (2023)
by: Wang, Yuxin, et al.
Published: (2023)
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
by: Gupta, Ahan, et al.
Published: (2026)
by: Gupta, Ahan, et al.
Published: (2026)
Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation
by: Wang, Tuowei, et al.
Published: (2024)
by: Wang, Tuowei, et al.
Published: (2024)
CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
by: Rashid, Md Hasanur, et al.
Published: (2026)
by: Rashid, Md Hasanur, et al.
Published: (2026)
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase
by: Nicusan, Andrei-Leonard, et al.
Published: (2025)
by: Nicusan, Andrei-Leonard, et al.
Published: (2025)
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey
by: Ather, Hammad, et al.
Published: (2024)
by: Ather, Hammad, et al.
Published: (2024)
Can Tensor Cores Benefit Memory-Bound Kernels? (No!)
by: Zhang, Lingqi, et al.
Published: (2025)
by: Zhang, Lingqi, et al.
Published: (2025)
Understanding Power Consumption Metric on Heterogeneous Memory Systems
by: Proaño, Andrès Rubio, et al.
Published: (2024)
by: Proaño, Andrès Rubio, et al.
Published: (2024)
CUTHERMO: Understanding GPU Memory Inefficiencies with Heat Map Profiling
by: Zhao, Yanbo, et al.
Published: (2025)
by: Zhao, Yanbo, et al.
Published: (2025)
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026)
by: Ng, Nathan, et al.
Published: (2026)
Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs
by: Wahlgren, Jacob, et al.
Published: (2025)
by: Wahlgren, Jacob, et al.
Published: (2025)
Efficient Serverless Cold Start: Reducing Library Loading Overhead by Profile-guided Optimization
by: Tariq, Syed Salauddin Mohammad, et al.
Published: (2025)
by: Tariq, Syed Salauddin Mohammad, et al.
Published: (2025)
Disaggregated Design for GPU-Based Volumetric Data Structures
by: Meneghin, Massimiliano, et al.
Published: (2025)
by: Meneghin, Massimiliano, et al.
Published: (2025)
Serving Chain-structured Jobs with Large Memory Footprints with Application to Large Foundation Model Serving
by: Sun, Tingyang, et al.
Published: (2026)
by: Sun, Tingyang, et al.
Published: (2026)
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips
by: Dagli, Ismet, et al.
Published: (2023)
by: Dagli, Ismet, et al.
Published: (2023)
OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
by: Bhattacharjee, Arijit, et al.
Published: (2026)
by: Bhattacharjee, Arijit, et al.
Published: (2026)
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
by: Zhang, Yaozheng, et al.
Published: (2025)
by: Zhang, Yaozheng, et al.
Published: (2025)
UniPar: A Unified LLM-Based Framework for Parallel and Accelerated Code Translation in HPC
by: Bitan, Tomer, et al.
Published: (2025)
by: Bitan, Tomer, et al.
Published: (2025)
Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner
by: Perrault, Nicolas, et al.
Published: (2024)
by: Perrault, Nicolas, et al.
Published: (2024)
Similar Items
-
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming
by: TehraniJamsaz, Ali, et al.
Published: (2024) -
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
by: Chen, Le, et al.
Published: (2024) -
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR
by: Karchi, Jad El, et al.
Published: (2024) -
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations
by: Dutta, Akash, et al.
Published: (2024) -
Can Large Language Models Predict Parallel Code Performance?
by: Bolet, Gregory, et al.
Published: (2025)