Christos Kozyrakis
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science
Studies computer architecture and cloud systems, including efficient infrastructure for AI workloads.
Christos Kozyrakis's lab at Stanford works on distributed, cloud & edge systems and accelerators, chips & architecture. 23 papers since 2023, 19 at top venues, mostly MLSys and OSDI. 4 PhD students. 36 alumni, most often to Google and DBOS Inc. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 83%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 36
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 8 · collecting
- 4 papers2025 · T1 3
- 6 papers2024 · T1 5
- 4 papers2023 · T1 3
T1 venuesOtherVenues: MLSys, OSDI, VLDB, NeurIPS, NSDI
Research focuspaper titles that use each topic's words
- infrastructure2 papers
- Distributed, cloud & edge systems1 paper
- Accelerators, chips & architecture0 papers
- workloads0 papers
- computer architecture0 papers
Paper list
From the lab homepage.
20269 papers
- ICML (T1)Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling (opens in a new tab)
- SOSP (T1)ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants (opens in a new tab)
- OSDI (T1)Contextra: Hierarchical Context Caching for Long Context Language Model Serving (opens in a new tab)
- IEEE/JSAP Symposium on VLSI Technology and CircuitsEnabling the Robotic Revolution: Bridging Performance Gap Between Present and Future (opens in a new tab)
- PACMPL (T1)Hunting CUDA Bugs at Scale with cuFuzz (opens in a new tab)
- MLSys (T1)RaidServe: High-performance Resilient Serving (opens in a new tab)
- NeurIPS (T1)Regulating Branch Parallelism in LLM Serving (opens in a new tab)
- NSDI (T1)Sparse Checkpointing for Fast and Reliable MoE Training (opens in a new tab)
- NSDI (T1)SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling (opens in a new tab)
20254 papers
- MLSys (T1)AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution (opens in a new tab)
- VLDB (T1)DBOS: three years later (opens in a new tab)
- SIGCSETeaching Cloud Infrastructure and Scalable Application Deployment in an Undergraduate Computer Science Program (opens in a new tab)
- ASPLOS (T1)Wave: Offloading Resource Management to SmartNIC Cores (opens in a new tab)
20246 papers
- VLDB (T1)cedar: Optimized and Unified Machine Learning Input Data Pipelines (opens in a new tab)
- OSDI (T1)High-throughput and Flexible Host Networking for Accelerated Computing (opens in a new tab)
- SOSP (T1)ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation (opens in a new tab)
- NeurIPS (T1)SGLang: Efficient Execution of Structured Language Model Programs (opens in a new tab)
- MICRO (T1)Special Issue on The Past, Present, and Future of Warehouse-Scale Computing (opens in a new tab)
- NeurIPS WorkshopWarpDrive: An Agentic Workflow for Ninja GPU Transformations (opens in a new tab)
20234 papers
- OSDI (T1)Honeycomb: Secure and Efficient GPU Executions via Static Validation (opens in a new tab)
- VLDB (T1)R3: Record-Replay-Retroaction for Database-Backed Applications (opens in a new tab)
- MLSys (T1)RecD: Deduplication for end-to-end deep learning recommendation model training infrastructure (opens in a new tab)
- USENIX Annual Technical ConferenceTectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training (opens in a new tab)
Where alumni went36 listed, 57% to industry
Industry 17Academia 13
Most often to
- DBOS Inc
- Intel
Also to
- MIT
- Stanford University
- UT Austin
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Single round
- Opens
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
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Confirmed on the program page.
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- Members
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Tiers are venue classifications, not lab rankings.
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