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LCTES 2018
co-located with PLDI 2018
Tue 19 Jun 2018 17:10 - 17:25 at Discovery AB - WIP paper session

Systems neuroscience studies involving in-vivo models often require realtime data processing. In these studies, many events must be monitored and processed quickly, including behavior of the subject (e.g., movement of a limb) or features of neural data (e.g., a neuron transmitting an action potential). Unfortunately, most realtime platforms are proprietary, require specific architectures, or are limited to low-level programming languages. Here we present a hardware-independent, open-source realtime computation platform that supports high-level programming. The resulting platform, LiCoRICE, can process on order 10e10 bits/sec of network data at 1 ms ticks with 18.2 µs jitter. It connects to various inputs and outputs (e.g., DIO, Ethernet, database logging, and analog line in/out) and minimizes reliance on custom device drivers by leveraging peripheral support via the Linux kernel. Its modular architecture supports model-based design for rapid prototyping with C and Python/Cython and can perform numerical operations via BLAS/LAPACK-optimized NumPy that is statically compiled via Numba’s pycc. LiCoRICE is not only suitable for systems neuroscience research, but also for applications requiring closed-loop realtime data processing from robotics and control systems to interactive applications and quantitative financial trading.

Conference Day
Tue 19 Jun

Displayed time zone: Eastern Time (US & Canada) change

16:10 - 17:25
WIP paper sessionLCTES 2018 at Discovery AB
16:25
15m
Short-paper
WIP: Deep Neural Networks compiler for a trace-based accelerator
LCTES 2018
Andre Xian Ming ChangFWDNXT and Purdue, Aliasger ZaidyFWDNXT and Purdue, Lukasz BurzawaFWDNXT and Purdue, Eugenio CulurcielloFWDNXT and Purdue
16:40
15m
Short-paper
WIP: Statically Relating Program Properties for Efficient Verification
LCTES 2018
Bharti ChimdyalwarTata Consultancy Services, Priyanka DarkeTata Consultancy Services
16:55
15m
Short-paper
WIP: Transparent Standby for Low-Power, Resource-Constrained Embedded Systems: A Programming Language-Based Approach
LCTES 2018
Francisco Sant'AnnaRio de Janeiro State University, Alexandre SztajnbergRio de Janeiro State University, Noemi RodriguezPUC-Rio, Ana Lúcia de Moura
17:10
15m
Short-paper
WIP: An open-source realtime computational platform
LCTES 2018
Pavan MehrotraStanford University, Sabar DasguptaStanford University, Samantha RobertsonStanford University, Paul NuyujukianStanford University
Link to publication DOI Pre-print Media Attached