category: Technical Papers

category: Auto, Security & Edge AI

Factoring 2048-bit RSA Integers in 177 Days with 13 436 Qubits and a Multimode Memory
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract: "We analyze the performance of a quantum computer architecture combining a small processor and a storage unit. By focusing on integer factorization, we show a reduction by several orders of magnitude of the number of processing qubits compared with a standard architecture using a planar grid of qubits with nearest-neighbor connectivity. This is achieved by taking advantage of a tem... » read more

Considerations for Neuromorphic Supercomputing in Semiconducting and Superconducting Optoelectronic Hardware
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract: "Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such reasoning leads to the proposal for optoelectronic neuromorphic platforms that leverage the complementary properties of optics and electronics. Starting from the conjecture that future large-scale neurom... » read more

Enabling Training of Neural Networks on Noisy Hardware
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract:  "Deep neural networks (DNNs) are typically trained using the conventional stochastic gradient descent (SGD) algorithm. However, SGD performs poorly when applied to train networks on non-ideal analog hardware composed of resistive device arrays with non-symmetric conductance modulation characteristics. Recently we proposed a new algorithm, the Tiki-Taka algorithm, that overcomes t... » read more

All-inorganic perovskite quantum dot light-emitting memories
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract "Field-induced ionic motions in all-inorganic CsPbBr3 perovskite quantum dots (QDs) strongly dictate not only their electro-optical characteristics but also the ultimate optoelectronic device performance. Here, we show that the functionality of a single Ag/CsPbBr3/ITO device can be actively switched on a sub-millisecond scale from a resistive random-access memory (RRAM) to a light-e... » read more

QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract "True random number generators (TRNG) sample random physical processes to create large amounts of random numbers for various use cases, including security-critical cryptographic primitives, scientific simulations, machine learning applications, and even recreational entertainment. Unfortunately, not every computing system is equipped with dedicated TRNG hardware, limiting the applicat... » read more

HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes
By Technical Paper Link - 18 Nov, 2021 - Comments: 0

Abstract: "State-of-the-art techniques for addressing scaling-related main memory errors identify and repair bits that are at risk of error from within the memory controller. Unfortunately, modern main memory chips internally use on-die error correcting codes (on-die ECC) that obfuscate the memory controller's view of errors, complicating the process of identifying at-risk bits (i.e., error pr... » read more

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing
By Technical Paper Link - 17 Nov, 2021 - Comments: 0

Abstract: "In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning applications. One prominent application of IMC is that of performing matrix-vector multiplication in (1) time complexity by mapping the synaptic weights of a neural-network layer to the devices of a... » read more

An FPGA-Based ECU for Remote Reconfiguration in Automotive Systems
By Technical Paper Link - 15 Nov, 2021 - Comments: 0

Abstract: "Growing interest in intelligent vehicles is leading automotive systems to include numerous electronic control units (ECUs) inside. As a result, efficient implementation and management of automotive systems is gaining importance. Flexible updating and reconfiguration of ECUs is one appropriate strategy for these goals. Software updates to the ECUs are expected to improve performance ... » read more

Uncovering In-DRAM RowHammer Protection Mechanisms: A New Methodology, Custom RowHammer Patterns, and Implications
By Technical Paper Link - 15 Nov, 2021 - Comments: 0

Abstract: "The RowHammer vulnerability in DRAM is a critical threat to system security. To protect against RowHammer, vendors commit to security-through-obscurity: modern DRAM chips rely on undocumented, proprietary, on-die mitigations, commonly known as Target Row Refresh (TRR). At a high level, TRR detects and refreshes potential RowHammer-victim rows, but its exact are not openly disclose... » read more

Improving DRAM Performance, Security, and Reliability by Understanding and Exploiting DRAM Timing Parameter Margins
By Technical Paper Link - 14 Nov, 2021 - Comments: 0

Abstract: "Characterization of real DRAM devices has enabled findings in DRAM device properties, which has led to proposals that significantly improve overall system performance by reducing DRAM access latency and power consumption. In addition to improving system performance, a deeper understanding of DRAM technology via characterization can also improve device reliability and security. The... » read more

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