The document discusses the OpenPOWER Foundation and its collaboration with the HPC Advisory Council. Some key points:
- OpenPOWER is pleased to announce its membership in HPCAC to further cross-community collaboration opportunities in HPC. OpenPOWER is contributing several POWER8 systems with NVIDIA GPUs to the HPCAC lab for benchmarking and demonstrations.
- OpenPOWER aims to fuel innovation through the collaboration of its partners. It has over 100 members from over 20 countries working on technologies across 24 work groups.
- One goal is to accelerate the technology roadmap by defining open interconnect standards and expanding the ecosystem of solutions that leverage the POWER architecture.
43. Region defined by
LINPACK
Conceptual View of Data
Intensive with Floating Point
Workflow
Data Centric
Applications
Compute Centric
Applications
Floating Point
OPS
Integer
OPS
Low Spatial
Locality
High Spatial
Locality
Conceptual View of Data Intensive-
Integer Workflow
Conceptual View of Data
Fusion/Uncertainty Quantification
Workflow
Different Solutions for Different Types of Workflows
44. 44
DCS Workflows: Mixed Compute Capabilities Required
12/9/13
All Source Analytics
Oil and Gas
Science
Financial Analytics
4-40 Racks
2-20 Racks
1-5+ Racks
1-100’s Racks
Analytics
Reservoir
Graph
Analytics
Throughput
Seismic
Value At Risk
Image
Analysis
Capability
Massively Parallel
Compute Capability:
• Simple kernels,
• Ops dominated (e.g.
DGEMM, Linpack)
• Simple data access
patterns.
• Can be preplanned for
high performance.
Analytics Capability:
• Complex code
• Data Dependent Code
Paths / Computation
• Lots of indirection /
pointer chasing
• Often Memory System
Latency Dependent
• C++ templated codes
• Limited opportunity for
vectorization
• Limited scalability
• Limited threading
opportunity