T1: Teaching Computer Architecture using MIPSfpga v2.0
Time: 8:00am - 6:00pm Room: Beverlywood
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T2: Tutorial on Quantum Computing
Time: 8:30am - 12:00pm Room: Hancock Park
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T3: Accelerating Big Data Processing and Associated Deep Learning on Datacenters with Modern Architectures
Time: 8:00am - 12:00pm Room: Echo Park
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T4: rCUDA: A Middleware for Increasing the Benefits of Using GPUs in Datacenters
Time: 8:00am - 12:00pm Room: Glassell Park
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T5: The Updated AMD gem5 APU Simulator: Modeling GPUs Using the Machine ISA
Time: 8:00am - 12:00pm Room: Westwood
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T6: Introduction to Grand Challenges and Research Tools for Quantum Computing
Time: 1:00pm - 5:30pm Room: Echo Park
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T7: Runtimes in the Cloud
Time: 1:30pm - 5:10pm Room: Westwood
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T8: Reverse-Engineering the Brain: A Computer Architecture Grand Challenge
Time: 1:30pm - 5:30pm Room: Hancock Park
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T9: Research Frameworks and Methodologies for Understanding the Soft Error Vulnerability, Reliability, and Resilience of Modern Architectures
Time: 1:30pm - 6:00pm Room: Glassell Park
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T10: MAERI: An Open Source Framework for Generating Modular DNN Accelerators supporting Flexible Dataflow
Time: 8:30am - 12:00pm Room: Westwood
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T11: Energy Efficient Computing in Multicore CPUs: Design Margins and Variability
Time: 8:30am - 12:00pm Room: Lincoln Heights
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T12: The case for Labeled von Neumann Architecture (LvNA)
Time: 8:20am - 12:00pm Room: Beverlywood
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T13: FPGA-based Accelerated Cloud Computing with AWS EC2 F1 and SDAccel
Time: 8:30am - 12:30pm Room: Echo Park
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