Kunle Olukotun Receives ACM-IEEE CS Eckert-Mauchly Award
ACM and the IEEE Computer Society have named Kunle Olukotun, a Professor at Stanford University, as the recipient of the 2023 ACM-IEEE CS Eckert-Mauchly Award for contributions and leadership in the development of parallel systems, especially multicore and multithreaded processors.
In the early 1990s, Olukotun became a leading designer of a new kind of microprocessor known as a “chip multiprocessor”—today called a “multicore processor.” His work demonstrated the performance advantages of multicore processors over the existing microprocessor designs at the time. Olukotun’s multicore design eventually became the industry standard.
The Eckert-Mauchly Award is known as the computer architecture community’s most prestigious award. It is co-sponsored by ACM and the IEEE Computer Society and comes with a $5,000 prize.
ACM Releases TechBrief on The Data Trust Deficit
The TechBrief is focused on a key challenge: that the full potential of data-driven systems cannot be realized without better understanding the roots of the distrust they can engender. Importantly, it dispels the popular misconception that a lack of trust in data systems is a result of poor data literacy among the public. In addressing the question of why the public distrusts data systems, The TechBrief also emphasizes that trust can vary according to demographic background, citing research showing that the negative effects of structural inequalities influence whether people trust.
ACM TechTalk with Daniel Zingaro and Leo Porter
Register to view the TechTalk, “LLMs: A New Way to Teach Programming” with Daniel Zingaro and Leo Porter. Instructors and researchers knows how challenging it can be for students to learn to program. Students need to iteratively learn many skills, such as using correct syntax, tracing code, using common programming patterns, writing code, and testing/debugging the code they write. Struggling with any one of these tasks may mean that the student will fail to solve whatever problem on which they are working.
In this talk, Zingaro and Porter explore how Large Language Models (LLMs) like GitHub Copilot and ChatGPT can shift the skills needed to succeed at programming and enable more students to become successful programmers, and more.
Visit the TechTalks Archive for our full archive of past TechTalks.
Featured ACM Member: David B. Papworth
David B. Papworth was employed at Intel Corporation from 1990 to 2020, having served in positions including Principal Processor Architect and Intel Fellow. He is the recipient of the 2022 ACM Charles P. “Chuck” Thacker Breakthrough in Computing Award for fundamental groundbreaking contributions to Intel’s P6 out-of-order engine and Very Long Instruction Word (VLIW) processors. In his interview, he discusses the challenges he faced in the production and development of the Pentium Pro, the future of microprocessors, the outsourcing of microchip production, and more.
ACM ByteCast Interviews Pattie Maes
ACM ByteCast is ACM’s series of podcast interviews with researchers, practitioners, and innovators who are at the intersection of computing research and practice. In this episode of ACM ByteCast, Rashmi Mohan hosts Pattie Maes, a Professor at MIT’s Program in Media Arts and Sciences. Maes runs MIT Media Lab’s Fluid Interfaces research group and is also a faculty member in MIT’s center for Neuro-Biological Engineering.
Here, Maes recounts her path to computing, provides historical perspective on the cyclical nature of the field of AI, recalls some of the designs and applied technologies she has worked on throughout her celebrated career, offers her thoughts on building diverse teams and what she’s most excited about in the field of AI, and more.
Listen here or wherever you get podcasts.
ACM ByteCast Interviews H.-S. Philip Wong
ACM ByteCast is ACM’s series of podcast interviews with researchers, practitioners, and innovators who are at the intersection of computing research and practice. In this episode of ACM ByteCast, Bruke Kifle hosts H.-S. Philip Wong, the Willard R. and Inez Kerr Bell Professor of Electrical Engineering in the School of Engineering at Stanford University. He is also Chief Scientist of the Taiwan Semiconductor Manufacturing Company (TSMC), where he was previously Vice President of Corporate Research.
Here, Wong tells how he entered the field of electrical engineering, describes the key challenges of scaling down technologies and the potential of drawing inspiration from biological systems in designing better computing systems, offers advice for aspiring engineers, and touches on the ethical and environmental implications of some of the biggest emerging trends.
Listen here or wherever you get podcasts.
Featured ACM Distinguished Speaker: Asad Masood Khattak
Asad Masood Khattak has over 14 years of industry and academia experience in various capacities, such as Developer, Webmaster, System Analyst, Research Associate, Team Leader, Postdoctoral Fellow, Principal Investigator, Assistant Professor, and Associate Professor. His areas of interest include semantic web, ontology engineering, context-aware computing, data mining, machine learning, healthcare, smart cities, and secure computing. Khattak’s lectures include “A Deep Learning Platform for Analyzing Social Media Contents,” “Cybersecurity Challenges of Critical Cyber Infrastructure,” and more. He is available to speak through the ACM Distinguished Speaker Program.
For more information about Khattak, please visit his DSP speaker information page.