Background Recent studies have showed the ability of Quantum Computers to produce atypical patterns which are hard to produce classically, which gives them a distinct advantage in the domain of machine learning. However, most devices today are considered Noisy Intermediate Scale Quantum (NISQ) devices, which are limited in the circuit breadth and suffer...

Background Cooperative sensing is used to mitigate sensor coverage and obstruction issues in autonomous vehicles. Cooperative sensing happens when multiple connected autonomous vehicles (CAVs) combine data to gain a more accurate picture of the world around each individual CAV. Additional connected infrastructure sensors (CISs) placed throughout a...

The rapid advancement of the internet and data-collecting devices has sparked increasing demand for computing solutions that are both energy-efficient and high-performance. Coarse-grained reconfigurable arrays (CGRAs) have gained traction as this low-power alternative, offering accelerators capable of supporting the compute-intensive process of collecting,...

Computing system designers need to characterize the execution of applications on a computing system (e.g., on a processor) and they also need to improve the design (i.e., find better hardware/software configurations for the computing system such as one that produces more throughput at lower energy consumption). Existing mechanisms for computing systems’...

Efficient hardware/software codesigns of deep learning accelerators are crucial for optimizing their performance in various applications, ranging from datacenters to mobile and wearable devices. The existing methods for optimizing deep learning accelerator designs are primarily black-box approaches, which do not consider crucial information about the...

­Background The increasing use of digital systems in everyday life has made reliability a key factor in the design of modern microprocessors. Soft errors are caused by high-energy particles, power supply noises, transistor variability, and can modify the logic value stored in microprocessor memory elements, which can cause a timing or functional...

­Background Connected Autonomous Vehicles (CAVs) are expected to enable reliable and efficient transportation systems. Most cooperative driving approaches for CAVs and motion planning algorithms for multi-agent systems are not completely safe because they implicitly assume that all vehicles/agents will execute the expected plan within a small margin...

Today there are numerous devices that collect, process, and communicate data from multiple sources such as the internet, cyber-physical and autonomous systems, and sensor networks. Extracting intelligent and actionable information from this data—whether done by machine learning or otherwise—is extremely compute-intensive and often limited...

Background Soft errors or transient faults—caused by high-energy particles that lead to an unexpected change in the transistor logic—have long been considered the main reliability challenge for many mission-critical applications. Conventionally, hardware-level soft-error resilience techniques have been employed in mission- and safety-critical...

As technology scales, the number of cores in processors will rapidly increase in order to avoid the power wall. In processors that have hundreds and thousands of cores, traditional memory architectures – in which a coherent memory interface is provided to all the cores in hardware, will not be feasible. The memory management functionality is expected...