The 24th International Symposium on High-Performance Computer Architecture provides a high-quality forum for scientists and engineers to present their latest research findings in this rapidly-changing field. This year's program will consist of workshops and tutorials on Saturday, February 24 and Sunday, February 25, as well as the keynote speeches and technical conference from Monday, February 26 to Wednesday, February 28.
HPCA-24 will be held at Austria Trend Eventhotel Pyramide, Austria, in conjunction with the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP-2018), the 16th International Symposium on Code Generation and Optimization (CGO-2018) and the 9th International Conference on Compiler Construction (旋风加速器iOS).
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- Best Paper Award: Amdahl's Law in the Datacenter Era: A Market for Fair Processor Allocation
- Seyed Majid Zahedi (Duke University), Qiuyun Llull (VMware/Duke University), Benjamin C. Lee (Duke University)
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- Test of Time Award 2018: Dynamically Exploiting Narrow Width Operands to Improve Processor Power and Performance
- by David Brooks and Margaret Martonosi, published at HPCA 1999
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- Registration Information (Link) and Registration Page (Link)
- Visa Information (Link)
- Student Travel Grant Information (Link)
- Hotel Reservation (Link)
- Venue Information (Link)
- Transportation and Local Information (Link)
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Session Information and Time (Link)
New: Lighting Talk Video For Each Paper is Added
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Workshop Information
- The 1st International Workshop on Accelerator Architecture in Computational Biology and Bioinformatics (AACBB-2018)
- The 4th IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB 2018)
- The 2nd Workshop on Pioneering Processor Paradigms (WP3-2018)
Tutorial Information
- Accelerating Big Data Processing and Associated Deep Learning on Datacenters and HPC Clouds with Modern Architectures (Link)
- PULP: An open hardware platform, the story so far (Link)
- Turning HPC clusters into High Performance & High Throughput facilities by using remote GPU virtualization (Link)
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