#chetanpatil – Chetan Arvind Patil
Photo by Dan Cristian Pădureț on Unsplash Computational lithography is a specialized field in the semiconductor manufacturing domain. It is used during lithography when advanced algorithmic models optimize the patterning and masking process. It is done by deforming the patterns to compensate for the physical and chemical effects naturally occurring
Photo by Maxence Pira on Unsplash The semiconductor industry continually faces challenges as it shrinks transistor sizes to increase performance. One promising solution to achieve this goal is the use of chiplets. Chiplet is small; independent silicon dies that can be interconnected to create a larger, more powerful chip –
Photo by Maxence Pira on Unsplash These latest trends in semiconductor manufacturing are significantly impacting the industry. These trends lead to faster, more powerful, and more efficient semiconductor chips. It drives demand for semiconductors in various applications, from smartphones and computers to cars and medical devices. Thus, it is critical
Photo by D koi on Unsplash Artificial intelligence (AI) is rapidly evolving as a critical application enabler. However, the high computational requirements of AI algorithms pose a challenge for semiconductor design and manufacturing. It is where the AI chip stack comes into the picture and will undoubtedly change AI-focused hardware,
Photo by Cristiano Firmani on Unsplash In 2010, Intel launched a new architecture-based solution for the high-end workstations. Codenamed Intel Xeon Phi Knights Ferry. It was a co-processor that would allow faster processing and training due to the massively parallel thread and memory level optimization with the help of multiple
Photo by Artiom Vallat on Unsplash In computer architecture, computing (compute), memory, and interconnect are the three main components of a computer system and are thus critical in CPU, GPU, and XPU design. These three pillars determine the speed and efficiency of the system. The faster these three blocks are,
Photo by ThisisEngineering RAEng on Unsplash The semiconductor industry is constantly evolving, and one of the most promising new technologies is the semiconductor processor-in-memory (PIM). PIM is a new approach to computing that integrates processing units directly into memory chips. It can significantly improve performance and efficiency, especially for applications
Photo by Vasilis Chatzopoulos on Unsplash The automotive industry is increasingly using semiconductor XPUs to power advanced driver assistance systems (ADAS) and autonomous driving features. XPUs perform specific tasks, such as image processing, object detection, and machine learning, much faster than traditional CPUs. Making them ideal for use in ADAS
Photo by Mihai on Unsplash Semiconductor fabrication is a complex process of designing and manufacturing electronic components such as microchips and transistors. It is a critical component of the electronics industry, providing the backbone for numerous devices such as computers, smartphones, and televisions. Despite its importance, the semiconductor fabrication process
Photo by Ryoji Iwata on Unsplash The semiconductor product finds applications in various solutions, from smartphones to autonomous vehicles. To continually achieve the application requirements, the industry relies on high-tech talent and thus has a strong connection with academia. Academia, therefore, plays a crucial role in training the semiconductor workforce.
Hi, I am Chetan Arvind Patil (chay-tun – how to pronounce), a semiconductor professional whose job is turning data into products for the semiconductor industry that powers billions of devices around the world. And while I like what I do, I also enjoy biking, working on few ideas, apart from writing, and talking about interesting developments in hardware, software, semiconductor and technology.
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