The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Rebooting computing using in-memory architectures relies on the ability of emerging devices to execute a legacy software stack. In this paper, we present our approach of executing compute kernels written in a subset of the C programming language using flow-based computing on nanoscale memristor crossbars. Our approach also tests the correctness of the design using the parallel Xyces electronic simulation...
We introduce a new compact in-memory computing design for implementing 8-bit addition using eight vertically-stacked nanoscale crossbars of one-diode one-memristor 1D1M switches. Each crossbar in our design only has 5 rows and 4 columns. Hence, the design may be used to fabricate a compact 8-bit adder that meets the size constraint of 50nm χ 50nm χ 50nm imposed by the electrical component of the Feynman...
Nanoscale memristor crossbars provide a natural fabric for in-memory computing and have recently been shown to efficiently perform exact logical operations by exploiting the flow of current through crossbar interconnects. In this paper, we extend the flow-based crossbar computing approach to approximate stochastic computing. First, we show that the natural flow of current through probabilistically-switching...
Background Polychromatic flow cytometry is a popular technique that has wide usage in the medical sciences, especially for studying phenotypic properties of cells. The high-dimensionality of data generated by flow cytometry usually makes it difficult to visualize. The naive solution of simply plotting two-dimensional graphs for every combination of observables becomes impractical as the number of...
Autonomous cyber-physical systems rely on modern machine learning methods such as deep neural networks to control their interactions with the physical world. Testing of such intelligent cyberphysical systems is a challenge due to the huge state space associated with high-resolution visual sensory inputs. We demonstrate how fuzzing the input using patterns obtained from the convolutional filters of...
In recent years, we have seen the emergence of multi-GS/s medium-to-high-resolution ADCs. Presently, SAR ADCs dominate low-speed applications and time-interleaved SARs are becoming increasingly popular for high-speed ADCs [1,2]. However the SAR architecture faces two key problems in simultaneously achieving multi-GS/s sample rates and high resolution: (1) the fundamental trade-off of comparator noise...
A ROM-less direct digital synthesizer architecture is presented in this paper. This architecture eliminates the ROM-based phase to sine wave amplitude converter, which is a bottleneck for pushing clock frequencies into the gigahertz range. The design consists of a 16-bit phase accumulator, a set of 18 band pass finite impulse response filters, a 12-bit digital to analog converter and a low pass filter...
A 1.4 GHz high gain Low Noise Amplifier (LNA) with single ended input and differential output for global navigation systems like GPS operating in L3 and L4 bands is proposed in this paper. This design has two stages, the first stage uses an inductor-degeneration topology and the second stage has two branches to generate amplified differential output and it reuses the current from positive terminal...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.