Shivaram Venkataraman
17 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (11)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(11)
🏆
Keyword Champion
(2)
💎
Century Club
(17)
🗃️
Keyword Collector
(68)
🔥
Unstoppable
(6)
Conferences
NSDI (6)
OSDI (5)
ICML (4)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
cluster scheduling
(2)
performance model
(2)
resource allocation
(2)
object detection
(1)
parallel computing
(1)
graph embedding
(1)
scalable machine learning
(1)
graph approximation
(1)
distributed training
(1)
block coordinate descent
(1)
approximate nearest neighbor
(1)
bayesian optimization
(1)
query optimization
(1)
matrix preconditioning
(1)
convolutional neural network
(1)
distributed machine learning
(1)
fair allocation
(1)
momentum method
(1)
inference optimization
(1)
distributed computing
(1)
Papers
Scaling Inference-Efficient Language Models
ICML 2025
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models
ICML 2025
Quake: Adaptive Indexing for Vector Search
OSDI 2025
Decoding Speculative Decoding
NAACL 2025
CHAI: Clustered Head Attention for Efficient LLM Inference
ICML 2024
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
NSDI 2023
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
NSDI 2021
Marius: Learning Massive Graph Embeddings on a Single Machine
OSDI 2021
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure
NSDI 2019
Focus: Querying Large Video Datasets with Low Latency and Low Cost
OSDI 2018
ASAP: Fast, Approximate Graph Pattern Mining at Scale
OSDI 2018
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics
NSDI 2017
MLlib: Machine Learning in Apache Spark
JMLR 2016
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics
NSDI 2016
The Power of Choice in Data-Aware Cluster Scheduling
OSDI 2014