VCache: visualization applet for processor caches. - Berkin Ilbeyi; John A. Nestor (ITiCSE, 2010)

Architectural Specialization for Inter-Iteration Loop Dependence Patterns. - Shreesha Srinath; Berkin Ilbeyi; Mingxing Tan; Gai Liu; Zhiru Zhang; Christopher Batten (MICRO, 2014)

Pydgin: generating fast instruction set simulators from simple architecture descriptions with meta-tracing JIT compilers. - Derek Lockhart; Berkin Ilbeyi; Christopher Batten (ISPASS, 2015)

JIT-assisted fast-forward embedding and instrumentation to enable fast, accurate, and agile simulation. - Berkin Ilbeyi; Christopher Batten (ISPASS, 2016)

Cross-layer workload characterization of meta-tracing JIT VMs. - Berkin Ilbeyi; Carl Friedrich Bolz-Tereick; Christopher Batten (IISWC, 2017)

Using intra-core loop-task accelerators to improve the productivity and performance of task-based parallel programs. - Ji Kim; Shunning Jiang; Christopher Torng; Moyang Wang; Shreesha Srinath; Berkin Ilbeyi; Khalid Al-Hawaj; Christopher Batten (MICRO, 2017)

Mamba: closing the performance gap in productive hardware development frameworks. - Shunning Jiang; Berkin Ilbeyi; Christopher Batten (DAC, 2018)

Type freezing: exploiting attribute type monomorphism in tracing JIT compilers. - Lin Cheng; Berkin Ilbeyi; Carl Friedrich Bolz-Tereick; Christopher Batten (CGO, 2020)

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. - Phitchaya Mangpo Phothilimthana; Amit Sabne; Nikhil Sarda; Karthik Srinivasa Murthy; Yanqi Zhou; Christof Angermueller; Mike Burrows; Sudip Roy 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators. - Martin Maas 001; Ulysse Beaugnon; Arun Chauhan 001; Berkin Ilbeyi (ASPLOS (1), 2023)

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. - Shibo Wang; Jinliang Wei; Amit Sabne; Andy Davis; Berkin Ilbeyi; Blake Hechtman; Dehao Chen; Karthik Srinivasa Murthy; Marcello Maggioni; Qiao Zhang; Sameer Kumar; Tongfei Guo; et al. (ASPLOS (1), 2023)

Optimizing Memory Mapping Using Deep Reinforcement Learning. - Pengming Wang 001; Mikita Sazanovich; Berkin Ilbeyi; Phitchaya Mangpo Phothilimthana; Manish Purohit; Han Yang Tay; Ngân Vu; Miaosen Wang; Cosmin Paduraru; Edouard Leurent; Anton Zhernov; Julian Schrittwieser; et al. (CoRR, 2023)