Jovan Stojkovic
Assistant Professor
Works on computer architecture and systems for cloud datacenters, including energy-efficient LLM inference serving.
Jovan Stojkovic's lab at UT Austin works on efficient training & inference and distributed, cloud & edge systems. 30 papers since 2023, 22 at top venues, mostly ISCA and HPCA. 8 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 73%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 0
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 9 · collecting
- 10 papers2025 · T1 6
- 6 papers2024 · T1 3
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ISCA, HPCA, MICRO, OSDI, ASPLOS
Research focuspaper titles that use each topic's words
- Efficient training & inference8 papers
- Distributed, cloud & edge systems7 papers
- llm inference5 papers
- computer architecture0 papers
- serving0 papers
Paper list
From the lab homepage.
20269 papers
- HPCA (T1)AccelFlow: Orchestrating an On-Package Ensemble of Fine Grained Accelerators for Microservice Workloads
- ISCA (T1)Dorado: Clustered Hardware Cache Coherence for 1,000+ Cores
- MICRO (T1)Fidelio: Agentic AI Framework for Synthesizing Microarchitecture-Faithful Datacenter Benchmarks
- OSDI (T1)Hardware Lifecycle-Aware Power Planning in Commercial Hyperscale Datacenters
- ISCA (T1)PhaseWeave: Phase-Aware Execution on Heterogeneous Chiplet Architectures for Datacenters
- MICRO (T1)Power Roofline
- ISCA (T1)Power Sloshing in Compound Servers for Large-Scale AI Inference Workloads
- ISCA (T1)Rearchitecting the Datacenter Lifecycle for AI
- ISCA (T1)Vistara: Making CXL Real—Full Path from ASIC Design and OS Support to Hyperscale Deployment
202510 papers
- Young Architect WorkshopAdaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
- MICRO (T1)Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
- University of Illinois at Urbana-ChampaignChasing the “Tail at Scale
- HPCA (T1)Concord: Rethinking Distributed Coherence for Software Caches in Serverless Environments
- HPCA (T1)DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
- OSDI (T1)EMT: An OS Framework for New Memory Translation Architectures
- ISCA (T1)HardHarvest: Hardware-Supported Core Harvesting for Microservices
- ASPLOS (T1)TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
- Project Repository JournalToward Cloud-Native Architectures
- SCWorkload Sage: Workload-Aware IaaS abstraction for Cloud Efficiency
20246 papers
- ISCA (T1)EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency
- MICRO (T1)Mosaic: Harnessing the Micro-architectural Resources of Servers in Serverless Environments
- Young Architect WorkshopOasisRPC: Hiding the Overheads of RPCs in Microservice Environments
- ISCA (T1)SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
- Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2 '24) in conjunction with ASPLOS'24Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
- International Workshop on Cloud Intelligence / AIOpsUniCache: The Next 700 Caches for Serverless Computing
20235 papers
- Young Architect WorkshopHardware Support for Efficient and Secure Resource Harvesting in the Cloud
- HPCA (T1)Memory Efficient Hashed Page Tables
- ISCA (T1)MXFaaS: Resource Sharing in Serverless Environments for Parallelism and Efficiency
- HPCA (T1)SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution
- ISCA (T1)µManycore: A Cloud Native CPU for Tail at Scale
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- Papers
- The lab homepage
- Members
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- Lab homepage
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