FARM: A Prototyping Environment for Tightly-Coupled, Heterogeneous Architectures. - Tayo Oguntebi; Sungpack Hong; Jared Casper; Nathan Grasso Bronson; Christos Kozyrakis; Kunle Olukotun (FCCM, 2010)

Eigenbench: A simple exploration tool for orthogonal TM characteristics. - Sungpack Hong; Tayo Oguntebi; Jared Casper; Nathan Grasso Bronson; Christos Kozyrakis; Kunle Olukotun (IISWC, 2010)

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU. - Sungpack Hong; Tayo Oguntebi; Kunle Olukotun (PACT, 2011)

Hardware acceleration of transactional memory on commodity systems. - Jared Casper; Tayo Oguntebi; Sungpack Hong; Nathan Grasso Bronson; Christos Kozyrakis; Kunle Olukotun (ASPLOS, 2011)

Accelerating CUDA graph algorithms at maximum warp. - Sungpack Hong; Sang Kyun Kim; Tayo Oguntebi; Kunle Olukotun (PPoPP, 2011)

A case of system-level hardware/software co-design and co-verification of a commodity multi-processor system with custom hardware. - Sungpack Hong; Tayo Oguntebi; Jared Casper; Nathan Grasso Bronson; Christos Kozyrakis; Kunle Olukotun (CODES+ISSS, 2012)

GraphOps: A Dataflow Library for Graph Analytics Acceleration. - Tayo Oguntebi; Kunle Olukotun (FPGA, 2016)

Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Nicolas Mayoraz; Yi-Fan Chen; John R. Anderson; Taylor Robie; Tayo Oguntebi; Dan Shirron; Amit Bleiwess (CoRR, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 2020)

Exploring the limits of Concurrency in ML Training on Google TPUs. - Sameer Kumar; James Bradbury; Cliff Young; Yu Emma Wang; Anselm Levskaya; Blake A. Hechtman; Dehao Chen; HyoukJoong Lee; Mehmet Deveci; Naveen Kumar; Pankaj Kanwar; Shibo Wang; et al. (CoRR, 2020)

Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput. - Arissa Wongpanich; Tayo Oguntebi; Jose Baiocchi Paredes; Yu Emma Wang; Phitchaya Mangpo Phothilimthana; Ritwika Mitra; Zongwei Zhou; Naveen Kumar; Vijay Janapa Reddi (CoRR, 2025)