Jonathan Ragan-Kelley
Associate Professor
Studies high-efficiency computer graphics and ML computation at the intersection of systems, architecture, and compilers, including tensor compilers and efficient LLM kernels.
Jonathan Ragan-Kelley's lab at MIT works on rendering & appearance, efficient training & inference and accelerators, chips & architecture. 14 papers since 2023, 5 at top venues, mostly ASPLOS and EMNLP. 12 alumni, most often to Adobe and Anthropic. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 36%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 12
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 8 papers2024 · T1 3
- 4 papers2023 · T1 1
T1 venuesOtherVenues: ASPLOS, EMNLP, NeurIPS, SIGGRAPH, SIGGRAPH Asia
Research focuspaper titles that use each topic's words
- Rendering & appearance1 paper
- compilers1 paper
- Efficient training & inference0 papers
- Accelerators, chips & architecture0 papers
- efficient llm0 papers
Paper list
From the lab homepage.
20252 papers
- ASPLOS (T1)Exo 2: Growing a Scheduling Language (opens in a new tab)
- Proceedings of the ACM on Programming Languages (PLDILightweight and Locality-Aware Composition of Black-Box Subroutines (opens in a new tab)
20248 papers
- Proceedings of the ACM on Programming Languages (PLDIA Verified Compiler for a Functional Tensor Language (opens in a new tab)
- Proceedings of the ACM on Programming Languages (OOPSLADistributions for Compositionally Differentiating Parametric Discontinuities (opens in a new tab)
- Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOSFast Instruction Selection for Fast Digital Signal Processing (opens in a new tab)
- EMNLP (T1)Fast Matrix Multiplications for Lookup Table-Quantized LLMs (opens in a new tab)
- Conference on Language Modeling (COLMHydra: Sequentially-Dependent Draft Heads for Medusa Decoding (opens in a new tab)
- NeurIPS (T1)Reducing Transformer Key-Value Cache Size with Cross-Layer Attention (opens in a new tab)
- SIGGRAPH Asia (T1)Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation (opens in a new tab)
- Topics in Cognitive ScienceStorytelling as Inverse Inverse Planning (opens in a new tab)
20234 papers
- SIGGRAPH (T1)Acting as Inverse Inverse Planning (opens in a new tab)
- Advances in Neural Information Processing Systems (NeurIPSInferring the Future by Imagining the Past (opens in a new tab)
- ACM Transactions on Graphics (Proc. SIGGRAPHSemantics and Scheduling for Machine Knitting Compilers (opens in a new tab)
- ACM Transactions on Graphics (SIGGRAPH AsiaSLANG.D: Fast, Modular and Differentiable Shader Programming (opens in a new tab)
Where alumni went12 listed, 30% to industry
Industry 3Academia 7
Most often to
- Adobe
- Anthropic
Also to
- Stanford University
- University of Washington
- UC San Diego
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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