BAMSE: A balanced mapping space exploration algorithm for GALS-based manycore platforms. - Mohammad H. Foroozannejad; Brent Bohnenstiehl; Soheil Ghiasi (ASP-DAC, 2013)

Scalable hardware-based power management for many-core systems. - Bin Liu 037; Brent Bohnenstiehl; Bevan M. Baas (ACSSC, 2014)

A software LDPC decoder implemented on a many-core array of programmable processors. - Brent Bohnenstiehl; Bevan M. Baas (ACSSC, 2015)

Area efficient backprojection computation with reduced floating-point word width for SAR image formation. - Jon J. Pimentel; Aaron Stillmaker; Brent Bohnenstiehl; Bevan M. Baas (ACSSC, 2015)

KiloCore: A 32 nm 1000-processor array. - Brent Bohnenstiehl; Aaron Stillmaker; Jon J. Pimentel; Timothy Andreas; Bin Liu 037; Anh Tran; Emmanuel Adeagbo; Bevan M. Baas (Hot Chips Symposium, 2016)

A 5.8 pJ/Op 115 billion ops/sec, to 1.78 trillion ops/sec 32nm 1000-processor array. - Brent Bohnenstiehl; Aaron Stillmaker; Jon J. Pimentel; Timothy Andreas; Bin Liu 037; Anh Tran; Emmanuel Adeagbo; Bevan M. Baas (VLSI Circuits, 2016)

KiloCore: A 32-nm 1000-Processor Computational Array. - Brent Bohnenstiehl; Aaron Stillmaker; Jon J. Pimentel; Timothy Andreas; Bin Liu 037; Anh Tran; Emmanuel Adeagbo; Bevan M. Baas (IEEE J. Solid State Circuits, 2017)

KiloCore: A Fine-Grained 1, 000-Processor Array for Task-Parallel Applications. - Brent Bohnenstiehl; Aaron Stillmaker; Jon J. Pimentel; Timothy Andreas; Bin Liu 037; Anh Tran; Emmanuel Adeagbo; Bevan M. Baas (IEEE Micro, 2017)

Hybrid Hardware/Software Floating-Point Implementations for Optimized Area and Throughput Tradeoffs. - Jon J. Pimentel; Brent Bohnenstiehl; Bevan M. Baas (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Scalable energy-efficient parallel sorting on a fine-grained many-core processor array. - Aaron Stillmaker; Brent Bohnenstiehl; Lucas Stillmaker; Bevan M. Baas (J. Parallel Distributed Comput., 2020)

A Low-Overhead Method for the Accurate Estimation of the Maximum Operating Clock Frequency. - Brent Bohnenstiehl; Aaron Stillmaker; Timothy Andreas; Bevan M. Baas (VLSI-SoC, 2022)