Emerging workload characterization and acceleration: especially for computational genomics, big data analytics, machine learning, image and video processing, and high-performance computing\n\nComputer architecture: especially for heterogeneous and energy-efficient accelerator-rich architectures (ARAs), multicore and many-core architectures, memory systems and near data acceleration\n\nProgramming and compiler optimization: especially for improving memory system performance, programming and compiler support for the above architectures\n\nBig data computing system: especially for enabling FPGA accelerators in datacenter\n\nPerformance evaluation and design automation: especially for architectural simulation, benchmarking, prototyping, and GPU-FPGA comparison\n\nReliability for hardware accelerators: especially for machine learning based reliability modeling for accelerators, and reliability for machine learning accelerators
