Software toolchain for the hybrid digital-analog, memristor-based accelerator for machine learning
The deceleration of transistor feature size scaling has motivated the growing adoption of specialized accelerators implemented as GPUs, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), and more recently new types of computing such as neuromorphic, ultra-low energy, reversible, stochastic, optical, quantum, combinations, etc. There’s a tension between specialization and generalization, with the current state trending toward special purpose, optimized accelerators.
Dejan Milojicic examines the software toolchain for a hybrid digital-analog, memristor-based accelerator, the Dot Product Engine (DPE). He explores the toolchain for a select pattern of applications in machine learning and demonstrates that the software toolchain makes an accelerator, such as the DPE, more general, which enables broader adoption and better utilization. More specifically, you’ll learn about the compiler, assembler, loader, application optimizer, ONNX plugins, and device driver for the DPE.
What you'll learn
- Learn how the DPE can enable broader adoption and better utilization
Hewlett Packard Laboratories
Dea Milojicic is a distinguished technologist at Hewlett Packard Labs, leading system software teams in the US, Brazil, and India. Previously, he worked at the OSF Research Institute in Cambridge, Massachusetts; at the Mihajlo Pupin Institute in Belgrade, Serbia; and he was a technical director of the Open Cirrus Cloud Computing Testbed, with academic, industrial, and government sites in the US, Europe, and Asia. Dean earned his PhD from Kaiserslautern University, Germany, and his MSc and BSc from Belgrade University, Serbia. He’s published two books and 180 papers; he has 31 granted patents. He’s an IEEE Fellow and ACM Distinguished Engineer. Dean was on eight PhD thesis committees and taught the cloud management course at SJSU. As president of the IEEE Computer Society, he started Tech Trends, the top-viewed CS news. As the IEEE industry engagement chair, he started IEEE Infrastructure ’18 conference dedicated for industry.
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