A substantial part of high energy consumption (> 60%) and large latency (> 90%) of conventional von-Neumann architectures can be attributed to the unavoidable data movement between the processor and main memory (DRAM). This is perhaps the major limiting factor for big data and machine learning applications whose usage is permeating into practically...

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’...

The success of conventional supervised learning relies on large-scale labeled datasets to achieve high accuracy. However, annotating millions of data samples is labor-intensive and time-consuming. This promotes self-supervised learning as an attractive solution with artificial labels being used instead of human-annotated ones for training. Contrastive...

Photovoltaic (PV) energy systems have played a major part in meeting renewable energy requirements. However, power production from PV systems faces impediments such as partial shading due to environmental and man-made obstructions. Shading causes voltage and current mismatch losses that can significantly reduce the power supplied to the grid. Reconfiguring...

Despite substantial improvements in solar array efficiency in recent years, accurate fault detection and diagnosis remains an open problem as undetected faults can cause substantial power loss and hazardous conditions. Solar panel arrays can experience several types of faults of varying severity. Some faults, such as those associated with soiled, dirty,...

In the last decade, new solar photovoltaic (PV) cell technologies have emerged for grid-connected systems. However, automatic fault detection and accurate diagnostics for PV array systems are still challenging problems. Even with over-current protection devices (OCPD), ground fault detection interrupters (GFDI), and smart monitoring devices (SMDs) with...

The production of photovoltaic (PV) energy is affected by numerous external factors such as varying temperatures, soiling of PV panels, and partial shading which can significantly reduce power generated. Off-the-shelf PV arrays are typically connected in a series-parallel (SP) topology, featuring parallel-connected strings of series-connected panels....