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LCTES 2019
Sat 22 - Fri 28 June 2019 Phoenix, Arizona, United States
co-located with PLDI 2019
Sun 23 Jun 2019 16:00 - 16:15 at 105A - Session 4: Benchmarking and In-progress Works Chair(s): Hyunok Oh

With the recent increase in ultra-low power applications, researchers are investigating alternative architectures that can operate on streaming input data. These target use cases require complex algorithms that must be evaluated under a real-time deadline, but also satisfy the strict available power budget. Stochastic computing (SC) is an example of an alternative paradigm where the data is represented as single bitstreams, allowing designers to implement operations such as multiplication using a simple AND gate. Consequently, the resulting design is both low area and low power. Similarly, traditional digital filters can take advantage of streaming inputs to effectively choose coefficients, resulting in a low cost implementation. In this work, we construct six key algorithms to characterize bitstream computing. We present these algorithms as a new benchmark suite: BitBench.

Sun 23 Jun
Times are displayed in time zone: (GMT-07:00) Tijuana, Baja California change

16:00 - 16:45: LCTES 2019 - Session 4: Benchmarking and In-progress Works at 105A
Chair(s): Hyunok OhHanyang Univ
LCTES-2019-papers16:00 - 16:15
Kyle DaruwallaUniversity of Wisconsin – Madison, Heng ZhuoUniversity of Wisconsin - Madison, Carly SchulzUniversity of Wisconsin - Madison, Mikko H. Lipasti
LCTES-2019-papers16:15 - 16:20
Greg StittUniversity of Florida, David CampbellUniversity of Florida
LCTES-2019-papers16:20 - 16:25
Andrea MaioliPolitecnico di Milano, Italy, Luca MottolaPolitecnico di Milano, Italy and RI.Se SICS, Sweden, Muhammad Hamad AlizaiLUMS, Pakistan, Junaid Haroon SiddiquiLahore University of Management Sciences
LCTES-2019-papers16:25 - 16:30
LCTES-2019-papers16:30 - 16:35
Yongseung YuHanyang University, Seokwon KangHanyang University, Yongjun ParkHanyang University
LCTES-2019-papers16:35 - 16:40
Mostafa MohammedVirginia Tech, Haipeng CaiWashington State University Pullman, Na MengVirginia Tech