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TDT01 Architecture of Computing Systems 2019

 

TDT01 is a specialization course focusing on specialist topics within computer architecture.

Course responsible: Rakesh Kumar


Students 2019

    Akhunov, Khakim

    Belgau, Oscar Henrik

    Boganes, Jørgen

    Brun, Sindre Skåland

    Caccialino, Marco

    Eggen, Lasse Agentoft

    Hummel, Halvard

    Ismail, Mohamed Hassan Ahmed Fouad

    Jellum, Erling Rennemo

    Krogstie, Øystein

    Lier, Joakim Omberg

    Metz, David Christoph

    Moolenaar, David Laurentius Arie

    Nordgaard, Sigve Sjømæling

    Padala, Abhinav

    Plotkin, Valentin

    Romanich, Daniel

    Ruiz Delgado, Ricardo Daniel

    Salvesen, Peter

    Smithsen, Eirik

    Strupe, Fredrik Lindberg

    Svela, Henrik Zawadi Berg

    Toft, Ola

    Aase, Eirik Vale

If you are not on this list, but intend to follow TDT01 you need to contact Rakesh ASAP.


Meetings (Date, time, and venue to be decided)

    Meeting 1: Startup meeting - 17th Sept, 11:15 - 12:00, Room 454 IT-Bygget [Slides]

    Meeting 2: Discussion 1 - 

    Meeting 3: Discussion 2 - 

    Meeting 4: Discussion 3 - 

 

Reading list

 Note: To access the full versions of the papers from IEEE and ACM you need to have an NTNU IP address. If you are not on campus, try VPN or a terminal server.

    1. Is Dark Silicon Useful? Harnessing the Four Horsemen of the Coming Dark Silicon Apocalypse

    2. Software and the Concurrency Revolution

    3. BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing

    4. Efficient Invisible Speculative Execution Through Selective Delay and Value Prediction

    5. Intermittent Computing: Challenges and Opportunities

    6. Architecture exploration for ambient energy harvesting nonvolatile processors

    7. The What's Next Intermittent Computing Architecture

    8.

    9. Get out of the valley: Power-efficient address mapping for GPUs

  10. Challenges in computer architecture evaluation

  11. The load slice core microarchitecture

  12. Needle : Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs



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