About the position
About the research centre or Inria department The Centre Inria de l’Université de Grenoble groups together almost 450 people in 26 research teams and 9 research support departments. Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area. The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world. Context As part of the CAMELIA project (national AI strategy), the MADMAX team is looking to recruit a PhD student in hardware architecture for the design of digital circuits accelerating AI workloads. The objective is to study the design of hardware accelerators physically distributed over chiplets, focusing on partitioning, scheduling, optimization, and hardware implementation issues. Assignment Missions : Research, development of prototypes and demonstrators, publication of results To gain a better understanding of the proposed research topic : 2020-06 – Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml 2021-05 FCCM – unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation 2020-11 ICFPT – Memory-Efficient Dataflow Inference for Deep CNNs on FPGA 2024-08 – H2PIPE High Throughput CNN Inference on FPGAs with High-Bandwidth Memory 2023-03 – FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA Collaboration: The PhD thesis will take place within the context of a national project, involving collaborations with all project members. Main activities Main activities : - Literature review, conducted throughout the 3-year PhD - Exploration of theoretical and practical solutions - Implementation and evaluation of solutions - Drafting of research publications Skills Technical skills and level required : - Expert level in RTL design, FPGA and architecture at large - Languages : English, French is a plus
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