WIP: An open-source realtime computational platform
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.
Tue 19 JunDisplayed time zone: Eastern Time (US & Canada) change
16:10 - 17:25 | |||
16:25 15mShort-paper | WIP: Deep Neural Networks compiler for a trace-based accelerator LCTES 2018 Andre Xian Ming Chang FWDNXT and Purdue, Aliasger Zaidy FWDNXT and Purdue, Lukasz Burzawa FWDNXT and Purdue, Eugenio Culurciello FWDNXT and Purdue | ||
16:40 15mShort-paper | WIP: Statically Relating Program Properties for Efficient Verification LCTES 2018 | ||
16:55 15mShort-paper | WIP: Transparent Standby for Low-Power, Resource-Constrained Embedded Systems: A Programming Language-Based Approach LCTES 2018 Francisco Sant'Anna Rio de Janeiro State University, Alexandre Sztajnberg Rio de Janeiro State University, Noemi Rodriguez PUC-Rio, Ana Lúcia de Moura | ||
17:10 15mShort-paper | WIP: An open-source realtime computational platform LCTES 2018 Pavan Mehrotra Stanford University, Sabar Dasgupta Stanford University, Samantha Robertson Stanford University, Paul Nuyujukian Stanford University Link to publication DOI Pre-print Media Attached |