Keynotes

Abstract: After almost 60 years in the trenches performing microarchitecture research, I have some thoughts about what it takes to move the needle.  Most importantly, one must understand the hardware details that the microarchitecture is built on, and the details of the resulting microarchitecture.  When it comes to bottom-up vs top-down, don't be a naive top-up.  If you come up with a feature you feel the need to add, choose the microarchitecture, not the ISA.  If the feature turns out to be a bad idea and you put it in the ISA, you will have to suffer with it for a very long time.  Recognize the value of heterogeneity and embrace it enthusiastically.  Take to heart the MIT white paper that there is plenty of room at the top and my response that there is still plenty of room at the bottom.  Understand that there are some obstacles to performance that are caused by multiple problems and it is not until you nail the last problem that you will reap the benefit.  Finally, always be willing to celebrate the good efforts of others; you are not the only smart person in the room.  In this talk, I will try to expand on many of the points mentioned above.

Abstract: The present generation is witnessing the fastest industrial revolutions of all times and AI is its biggest enabler. With AI becoming pervasive in almost every domain of human existence, accessibility remains a challenge. With a mission to democratize AI, we need to work towards fostering open collaboration with the global community to develop technology that are human-centred and facilitate sustainable digital transformation. And while this requires an open mindset for learning and contributing as a professional, it also requires contributions towards developing an open-source AI software stack. This is important to driving innovation, democratizing access, fostering transparency, and ensuring ethical development of AI technologies. It empowers a global community of developers to collaborate and build upon each other's work, ultimately accelerating progress in the field.

Fujitsu’s 2nm Arm-based CPU, FUJITSU-MONAKA is focused on addressing the wide range of usage in the datacenters including the growing demand for AI and HPC workloads, while prioritizing sustainability and carbon neutrality.

Fujitsu’s unique microarchitecture is pivotal for CPU performance and power efficiency. Fugaku, the world’s most efficient supercomputer, is a testament to our technology. FUJITSU-MONAKA is poised to drive the next-gen AI application ecosystem with energy-efficient computing.

Our R&D efforts concentrate on enhancing various open-source AI stack and speeding up deep learning processes with various processor level optimizations.

Abstract: In the past decades, computer design has prioritized performance, cost reduction, and energy efficiency over security. Meanwhile, malicious attacks have surged with the ever-increasing number of Internet-connected devices. Traditional antivirus software struggles to combat these attacks, particularly those exploiting hardware vulnerabilities. We introduce an additional layer of malware detection at the hardware level, monitoring semantic and sub-semantic behaviors to enhance system security. We present a real-time malware detection system monitoring microarchitectural features to detect anomalies indicative of attacks like Rowhammer and Spectre. Our experiments demonstrate scalability and promising detection accuracy. Future research aims to extend detection to GPU and other hardware vulnerabilities, emphasizing proactive, multi-layered defense mechanisms to counter evolving malware threats.

Abstract: The simulation of parallel and distributed computing systems has been actively pursued for several decades. The goal has been to develop methods and software to allow researchers in the field to perform perfectly controllable, observable and reproducible experiments for arbitary platform and application scenarios. The two key concerns with simulation are accuracy and scalability, and many approaches have been proposed and implemented to address these concerns in different ways.  In this presentation we will review key historical developments, attempt to give a synthetic view of the state of the art, and highlight current challenges and possible solutions.  Throughout the presentation, we will draw on key research and development milestones from the SimGrid project's extensive 20+ year history to offer a concrete and practical perspective.