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Ashwin Ramachandran

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Distributed, Parallel, and Cluster Computing Machine Learning Performance physics.chem-ph physics.flu-dyn

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preprint2026arXiv

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

The fast pace of artificial intelligence~(AI) innovation demands an agile methodology for observation, reproduction and optimization of distributed machine learning~(ML) workload behavior in production AI systems and enables efficient software-hardware~(SW-HW) co-design for future systems. We present Chakra, an open and portable ecosystem for performance benchmarking and co-design. The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace~(ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. Additionally, Chakra includes a complementary set of tools and capabilities to enable the collection, analysis, generation, and adoption of Chakra ETs by a broad range of simulators, emulators, and replay tools. We present analysis of Chakra ETs collected on production AI clusters and demonstrate value via real-world case studies. Chakra has been adopted by MLCommons and has active contributions and engagement across the industry, including but not limited to NVIDIA, AMD, Meta, Keysight, HPE, and Scala, to name a few.

preprint2022arXiv

Microfluidic Isotachophoresis: Theory and Applications

Isotachophoresis (ITP) is a versatile electrophoretic technique which can be used for sample preconcentration, separation, purification, mixing, and control and acceleration of chemical reactions. Although the basic technique is nearly a century old and widely used, there has been a persistent need for an easily approachable, succinct, and rigorous review of ITP theory and analysis. This is important as interest and adoption of the technique has grown over the last two decades, especially because of its implementation into microfluidics and integration with on-chip chemical and biochemical assays. We here provide a review of ITP theory with a strong emphasis on steady and unsteady transport starting from physicochemical first principles including conservation of species, conservation of current, the approximation of charge neutrality, pH equilibrium of weak electrolytes, and so-called regulating functions governing transport dynamics. We combine these generally applicable (to all types of ITP) theoretical discussions with applications of ITP in the field of microfluidic systems, particularly on-chip biochemical analyses. Our discussion includes principles governing ITP focusing of weak and strong electrolytes, ITP dynamics in peak and plateau modes, review of simulation tools, experimental tools and detection methods, applications of ITP for on-chip separations and trace analyte manipulation, and design considerations and challenges for microfluidic ITP systems. We conclude with remarks on possible future research directions. The intent of this review is to help make ITP analysis and design principles more accessible to the scientific and engineering communities, and to provide a rigorous basis for increased adoption of ITP into microfluidics.