Speaker
Description
Abstract: For decades, the x86 architecture has been the bedrock of Grid computing. That era of uniformity is over. Driven by the specialized demands of next-generation applications, we have entered a Resource Renaissance - a period defined by the rapid proliferation of ARM and RISC-V CPUs and various types and generations of GPUs across Grid computing centers.
However, this hardware abundance carries a significant "complexity tax." As the computing landscape fragments, traditional resource allocation methods are hitting a ceiling in both efficiency and scalability. The "one-size-fits-all" approach to scheduling is no longer viable in an environment where the difference between hardware capabilities and software requirements is widening.
This talk explores the shifting paradigms in resource brokering, matching, encapsulation and monitoring. We will examine the architectural friction inherent in modern workflows and analyze the strategies ALICE has employed to mitigate these challenges. Specifically, we will discuss how ALICE provides a universal platform that abstracts hardware diversity, effectively shielding users from the underlying complexity of the modern Grid while maximizing the potential of specialized hardware.
Speaker Bio: Maksim earned his MSc in Computer Engineering from the University of Bergen (UiB) in 2016, followed by a PhD in Computer Science in 2022 at the Western Norway University of Applied Sciences (HVL). He is currently a member of the core ALICE software team (Grid project), where he specializes in job brokering, containerization, pilot frameworks, and resources accounting.