Shivaram Venkataraman
18 papers · 2014–2026 · 5 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
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(89)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(9)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Optimization
(5)
Artificial Intelligence
(4)
Computer Science
(4)
Core AI
(4)
Systems
(4)
Core Methods
(3)
Natural Language Processing
(2)
Mathematics
(2)
Computer Vision
(1)
Deep Learning
(1)
Applications
(1)
Keywords
performance model
(2)
cluster scheduling
(2)
resource allocation
(2)
inference latency
(2)
large language model
(2)
parallel computing
(1)
scalable machine learning
(1)
object detection
(1)
distributed training
(1)
graph approximation
(1)
block coordinate descent
(1)
approximate nearest neighbor
(1)
bayesian optimization
(1)
query optimization
(1)
distributed computing
(1)
convolutional neural network
(1)
distributed machine learning
(1)
matrix preconditioning
(1)
scaling law
(1)
distributed computation
(1)
Papers
SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems
NSDI 2026
Decoding Speculative Decoding
NAACL 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
Scaling Inference-Efficient Language Models
ICML 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
Marius: Learning Massive Graph Embeddings on a Single Machine
OSDI 2021
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
NSDI 2021
Themis: Fair and Efficient GPU Cluster Scheduling
NSDI 2020
Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure
NSDI 2019
ASAP: Fast, Approximate Graph Pattern Mining at Scale
OSDI 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
OSDI 2018
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics
NSDI 2017
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics
NSDI 2016
MLlib: Machine Learning in Apache Spark
JMLR 2016
The Power of Choice in Data-Aware Cluster Scheduling
OSDI 2014