Workshop and Tutorial (approximate agenda)


Saturday Feb 24, 2018

Morning (from Time to Time)
AACBB: Accelerator Architecture in Computational Biology and Bioinformatics (Part1) HIPINEB: High-Performance Interconnection Networks in the Exascale and Big-Data Era (Part1)
[8:45 - 9:00] Opening Remarks
[9:00 - 10:00] Keynote 1 - Onur Mutlu: "Accelerating Genome Analysis: A Primer on an Ongoing Journey"
[10:00 - 10:30] Invited Talk - Bertil Schmidt: "Next Generation Sequencing: Big Data meets High Performance Computing Architectures"
[10:30 - 11:00] Break
[11:00 - 12:00] Paper session 1 (3 papers)
#TO BE ANNOUNCED#
Afternoon (from Time to Time)
AACBB: Accelerator Architecture in Computational Biology and Bioinformatics (Part2) HIPINEB: High-Performance Interconnection Networks in the Exascale and Big-Data Era (Part2)
[13:30 - 14:30] Keynote 2 - Srinivas Aluru: "Automata Processor and its Applications in Bioinformatics"
[14:30 - 15:00] Invited Talk - Ananth Kalyanaraman
[15:00 - 15:30] Break
[15:30 - 16:10] Paper session 2 (2 papers)
[16:10 - 17:00] Invited Talk - Can Alkan
[17:10 - 17:20] Closing remarks
#TO BE ANNOUNCED#

Sunday Feb 25, 2018

Morning (from Time to Time)
Second Workshop on Pioneering Processor Paradigms (Part1) Accelerating Big Data Processing with Hadoop, Spark and Memcached on Datacenters with Modern Architectures
#TO BE ANNOUNCED#
  • Introduction to Big Data and Associated Deep Learning Applications and Technologies
  • Overview of MapReduce and Resilient Distributed Datasets (RDD) Programming Models
  • Architecture Overview of Apache Hadoop, Spark, gRPC, TensorFlow, and Memcached
  • Overview of High-Performance Interconnects, Protocols, and Storage Architectures for Modern Datacenters
  • Challenges in Accelerating Hadoop, Spark, gRPC/TensorFlow, and Memcached on Modern Networking and Storage Architectures
  • Overview of Benchmarks and Applications using Hadoop, Spark, gRPC/TensorFlow, and Memcached
  • RDMA-based Acceleration Case Studies and In-Depth Performance Evaluation
  • The High-Performance Big Data (HiBD) Project and Associated Releases
  • Ongoing and Other Activities for Accelerating Big Data Applications
  • Advanced Acceleration Case Studies
  • Conclusion and Q & A
Afternoon (from Time to Time)
Second Workshop on Pioneering Processor Paradigms (Part2) PULP: An open hardware platform, the story so far
#TO BE ANNOUNCED#
  • PULP concept and goals
  • State of the art of open source harwdare design
  • Summary of PULP systems (PULP, PULPino, PULPissimo)
  • PULP cores (OR10N, RI5CY, Zero-riscy, Ariane)
  • Advanced PULP silicon implementations
  • Acceleration for PULP systems, examples from crytography and neural networks
  • PULP Programming
Turning HPC clusters into High Performance & High Throughput facilities by using remote GPU virtualization
[Session 1.1] Presentation of remote GPU virtualization techniques and rCUDA features (50 minutes)
[Session 1.2] Practical demonstration about how to install and use rCUDA (40 minutes)
Coffee Break
[Session 2] Guided exercises so that the audience uses rCUDA in a cluster located at Technical University of Valencia
[Spain] Time for attendees to freely exercise with rCUDA in the remote cluster (a set of exercises is proposed)