Aditya Akella
34 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (7)
π
Academic Marathon
(13)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Conference Loyalist
(20)
π¬
Deep Specialist
(15)
π
Keyword Champion
(5)
π
Century Club
(34)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(59)
β‘
Prolific Year
(7)
Conferences
NSDI (20)
OSDI (5)
EMNLP (3)
ICML (3)
ACL (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
resource allocation
(5)
cluster scheduling
(5)
model compression
(3)
large language model
(3)
distributed training
(3)
inference optimization
(2)
query execution plan
(2)
distributed learning
(2)
fpga prototype
(2)
dynamic adaptation
(2)
job completion time
(2)
network verification
(2)
network offload
(2)
formal verification
(2)
packet scheduling
(2)
programmable nic
(2)
instruction tuning
(1)
synthetic data generation
(1)
model architecture
(1)
computational efficiency
(1)
Papers
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
ICML 2025
Large Language Models as Realistic Microservice Trace Generators
EMNLP 2025
StitchLLM: Serving LLMs, One Block at a Time
ACL 2025
Enabling Portable and High-Performance SmartNIC Programs with Alkali
NSDI 2025
MTP: Transport for In-Network Computing
NSDI 2025
CONGO: Compressive Online Gradient Optimization
ICLR 2025
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
ICML 2025
MOSEL: Inference Serving Using Dynamic Modality Selection
EMNLP 2024
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
NIPS 2024
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
NSDI 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
EMNLP 2024
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE
NSDI 2023
RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs
NSDI 2023
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
ICML 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
NSDI 2023
Running BGP in Data Centers at Scale
NSDI 2021
ATP: In-network Aggregation for Multi-tenant Learning
NSDI 2021
Whiz: Data-Driven Analytics Execution
NSDI 2021
PANIC: A High-Performance Programmable NIC for Multi-tenant Networks
OSDI 2020
Tiramisu: Fast Multilayer Network Verification
NSDI 2020
Automated Verification of Customizable Middlebox Properties with Gravel
NSDI 2020
Liveness Verification of Stateful Network Functions
NSDI 2020
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
Loom: Flexible and Efficient NIC Packet Scheduling
NSDI 2019
Correctness and Performance for Stateful Chained Network Functions
NSDI 2019
Iron: Isolating Network-based CPU in Container Environments
NSDI 2018
Dynamic Query Re-Planning using QOOP
OSDI 2018
GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters
OSDI 2016
CLARINET: WAN-Aware Optimization for Analytics Queries
OSDI 2016
Paving the Way for NFV: Simplifying Middlebox Modifications Using StateAlyzr
NSDI 2016
Efficiently Delivering Online Services over Integrated Infrastructure
NSDI 2016
Altruistic Scheduling in Multi-Resource Clusters
OSDI 2016
RPT: Re-architecting Loss Protection for Content-Aware Networks
NSDI 2012
XIA: Efficient Support for Evolvable Internetworking
NSDI 2012