Amar Phanishayee

14 papers · 2014–2025 · 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18)

🏆 Keyword Champion (2) 🗃️ Keyword Collector (81) 💎 Century Club · Bronze

Venues

ICML (7) NSDI (3) NeurIPS (2) OSDI (2)

Top co-authors

Deepak Narayanan (5) Divya Mahajan (2) Matei Zaharia (2) Jakub Tarnawski (2) Jakub M Tarnawski (2) Ratul Mahajan (2) Shivaram Venkataraman (1) Rashmi Vinayak (1) Arjun Balasubramanian (1) Kshiteej Mahajan (1)

Research topics

Machine Learning (12) Application Areas (11) Artificial Intelligence (5) Computer Science (5) Core AI (5) Optimization & Theory · Machine Learning (5) Systems (5) Deep Learning (4) Optimization & Theory · Deep Learning (3) Mathematics & Optimization (2) Architectures (2) Optimization (2)

Keywords

deep neural network (4) model parallelism (3) resource allocation (2) job completion time (2) cluster scheduling (2) dynamic programming (1) parallel computing (1) deep learning (1) distributed training (1) fault tolerance (1) online algorithm (1) convolutional neural network (1) batch processing (1) distributed computing (1) pipeline parallelism (1) fair allocation (1) memory efficiency (1) memory optimization (1) throughput optimization (1) parameter sharing (1)

Papers

Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving ICML 2025 DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving ICML 2024 Integrated Hardware Architecture and Device Placement Search ICML 2024 MGit: A Model Versioning and Management System ICML 2024 Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters OSDI 2022 Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size ICML 2021 Memory-Efficient Pipeline-Parallel DNN Training ICML 2021 Piper: Multidimensional Planner for DNN Parallelization NeurIPS 2021 Efficient Algorithms for Device Placement of DNN Graph Operators NeurIPS 2020 Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads OSDI 2020 Themis: Fair and Efficient GPU Cluster Scheduling NSDI 2020 The Non-IID Data Quagmire of Decentralized Machine Learning ICML 2020 RAIL: A Case for Redundant Arrays of Inexpensive Links in Data Center Networks NSDI 2017 Bolt: Data Management for Connected Homes NSDI 2014