Gyeong-In Yu

6 papers · 2019–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

NeurIPS (2) OSDI (2) ICML (1) NSDI (1)

Top co-authors

Byung-gon Chun (5) Eunji Jeong (3) Geon-Woo Kim (2) Joo Seong Jeong (2) Taebum Kim (2) Yunmo Koo (1) Supun Nakandala (1) Konstantinos Karanasos (1) Sehoon Kim (1) Markus Weimer (1)

Research topics

Deep Learning (5) Machine Learning (5) Application Areas (5) Artificial Intelligence (4) Core AI (4) Optimization & Theory · Machine Learning (3) Techniques (3) Optimization & Theory · Deep Learning (2) Computer Science (1) Architectures (1) Models (1) Systems (1)

Keywords

deep learning framework (3) imperative programming (2) training optimization (1) deep learning training (1) model serving (1) distributed training (1) model compilation (1) generative model (1) pipeline parallelism (1) inference optimization (1) feature engineering (1) neural network compilation (1) symbolic execution (1) compiler optimization (1) inference serving (1) batch scheduling (1) parallel execution (1) tensor computation (1) dataflow graph (1) distributed serving (1)

Papers

BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models ICML 2023 Orca: A Distributed Serving System for Transformer-Based Generative Models OSDI 2022 Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs NeurIPS 2021 A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020 Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NeurIPS 2020 JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs NSDI 2019