PARAM Padma SuperComputer
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Transcript PARAM Padma SuperComputer
PARAM Padma SuperComputer
Vishal Bakshi
Aditya Polumetla
Topics
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Introduction
Specifications
Machine Architecture
Microkernel Architecture
PARAMNet II
System Software
Applications on PARAM
PARAM
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PARAM – PARAllel Machine
Developed by Center for Development of Advanced
Computing (C-DAC) India
PARAM Padma is the latest in the line of PARAM
series after PARAM 8000, PARAM 9000 and
PARAM 10000
Introduced in 2003
Its a next generation high performance scalable
computing cluster
PARAM Padma's theoretical peak performance of
complete configuration is 1.13 TFlops
PARAM Padma
PARAM Padma Configuration
Specifications
Compute Nodes:
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248 Power 4 1 Ghz processors
54 4-way SMP and 1 32-way SMP (Symmetric
MultiProcessing) configuration
OS – AIX / LINUX
AIX (Advanced Interactive eXecutive) is a
IBM's UNIX operating system
Aggregate Memory of 0.5 TeraBytes
Specifications continued
Network:
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PARAMNet II (primary)
GigaByte Ethernet (backup)
File Servers:
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24 UltraSparc-III 900MHz processors
6 4-way SMP configuration
OS – Solaris
File System – QFS (Quantitative File System)
Specifications continued
External Storage:
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Storage array 5 TeraBytes
Tape Library 12 TeraBytes
System Software:
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C-DAC's HPCC Suite of System Software
It provides a high flexible software environment
for the cluster
PARAM Padma System Layout
PARAM Machine Architecture
PARAM Machine Architecture
continued
Cluster Personality
- Data Link Provider Interface (DLPI) driver
allows mapping of common network protocols to
the underlying network
MPP (Massively Parallel Processor) Personality
- Architecture allows microkernel to be loaded on
compute nodes
- implements custom designed Concurrent Runtime
Environment (CORE)
- Standard message passing interface
1. Parallel Virtual Machine (PVM)
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PARAS Microkernel
Architecture
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Message for high MPP
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Supports multiple tasks with a paged virtual
memory space
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Multiple threads of execution within each task
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Message based interprocess communication
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Communication between tasks by message passing
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Location independent interprocess communication
supported by port abstraction
PARAS Microkernel
Architecture continued
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Services:
- An executive which schedules priority based
threads
- Location transparent interprocess communication
mechanism
- Simple virtual memory model
- Low kernel hardware supervisor
PARAS Microkernel – Block
Diagram
Microkernel Architecture
PARAS service request dispatcher routes all
requests to appropriate service provides
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Resource Managers
- Process Manager
- Virtual Memory Manager
- Inter-Process Communication (IPC) Manager
Microkernel Abstractions
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Five basic abstractions supported
- Tasks
- Threads
- Ports
- Messages
- Regions
Operating Environment
Operating Environment continued
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Components of Operating Environment
- Partition Manager: global resource manager and
management of that partition's resources
- Process Server: Spawning tasks on a node and
provides remote system call interface
- Microkernel File System Server: to serve UNIX file
system calls
- Name Server: provides port naming services to user
application
PARAMNet II
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Developed by C-DAC
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System Area Network (SAN) switch to
interconnect the nodes of the system
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Provides a low latency and high bandwidth
interconnect
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data rate @ 2.5 Gigabits/sec
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message latency of 10 µ sec
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switch latency of 0.5 µ sec
PARAMNet II continued
Major components are 1. 8 / 16-port SAN switch
2. Network Interface Card (NIC) with CCP-III
(C-DAC Co-Processor) communication
coprocessor
3. Application Programming Interface (C-VIPL)
C-DAC's Virtual Interface Provider Library
PARAMNet II – SAN Switch
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Non-blocking crossbar based architecture
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2.5 Gbps full duplex bandwidth per port
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Distributed schedulers allow individual routing
tables per port, allowing for any network topology
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More than 8 / 16 ports supported using multi-level
switching
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Ethernet based management interface allows for
remote access and control of multiple switches
PARAMNet II – SAN Switch
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Virtual channel based routing with 1 KB buffering
per port each at input and output
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Interval routing scheme based on 32-bit header
(16-bit routing information)
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Group adaptive routing based on LRU algorithm to
ensure uniform bandwidth distribution in a group
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Point-to-point flow control with pause and resume
token
PARAMNet II - NIC
Provides interface to SANSW8 (8 port ) and
SANSW16 (16 port) PARAMNet II switch
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Supports for connection oriented and
connectionless protocols
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Can be configured for other protocols
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Capable of performing I/O from paged virtual
memory
PARAMNet II – NIC continued
Support for up to 1024 connections and up to 1024
completion queues
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Support for different page sizes
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Packetization and reassembly done in hardware
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Error detection and recovery done in hardware
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Latency of 10 µ sec
PARAMNet II - C-VIPL
PARAMNet II – C-VIPL continued
C-VIPL is an application programming interface
for PARAMNet II
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Major feature – Thread safe implementation
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Supports AIX, Linux, Solaris and Windows OS
System Level Block diagram for
PARAMNet II
System Level Block diagram for
PARAMNet II continued
PARAMNet II network comprises of N hosts
connected in non-blocking fat tree topology
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For more than 8 / 16 hosts multiple SANSW8 /
SANSW16 are required
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As switch latency is low multiple levels of switches
have less latency
PARAM Padma and PARAMNet II
PARAM Padma has 12 PARAMNet II switches connected
to two-level configuration to form 64 node CLOS network
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CLOS Network: multi-stage network topology that
provides alternate paths between input and output making
it possible to eliminate the blocking that occurs in other
networks
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Latency associated with packet routing are small for a non
-blocking topology
HPCC Software
HPCC software on the PARAM Padma provides a
high performance flexible software environment
HPCC Software continued
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HPCC Software consists of
-program development tools
- system management tools
- software engineering tools
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Provides low overhead for communication
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Optimized Message Passing Interface (MPI)
Parallel file system with MPI-IO interface to
enable applications to scale on large cluster
HPCC Software continued
C-FPS is a client-server and user level parallel file
system that addresses high I/O throughput
requirements
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The Fortran programming environment consists of
- Fortran 90 compiler,
- parallelizing compiler for Fortran 77/90 for SMP
- integrated development environment and Fortran
77 to Fortran 90 converter
HPCC Software continued
The DIViA debugging environment comprises of a
coherent set of tools that help programmers in
debugging parallel programs
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PARMON the system management tool, enables
the administrator to monitor activities and resource
utilization of various cluster components
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RMS resource management tool enables users to
optimally schedule jobs across the cluster nodes
Storage Architecture
Storage is provided by Storage array and Tape
library
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Storage Area Network
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PARAM Padma has a network centric storage
architecture
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Storage capacity of 5 TB scalable to 22 TB
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Use of Fibre Channel Arbitration Loop (FC-AL)
technology to interconnect storage subsystems
Applications on PARAM Padma
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Bioinformatics
- stimulations of large bio molecules
- analysis of large databases for studying functions
of genes
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Computational Structural Mechanics
- fracture analysis
- stress analysis
- visualization for structural and fluid mechanics
- study of thin walled structures
Applications on PARAM Padma
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Seismic Data Processing
- for oil and natural gas exploration
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Computational Chemistry
- calculation of electronic structure and properties of
molecules
- molecular dynamics simulation
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Computational Fluid Dynamics
- simulation of external and internal flows
- simulation of hypersonic flows
References
1. http://cdac.in/html/parampma.asp
2.A Microkernel Based Operating System for PARAM 9000,
Mohan Ram, N et al, CDAC 1995
3. PARAM Padma – A Teraflops Computing System And
High Performance Computing in India, Purohit, S.K., CDAC,
2003
4.Current State and Future Trends in High Performance
Computing & Communications (HPCC) Research in India,
Sinha, P.K. et al, 10th IEEE Internaltional Workshop on
FTDCS 2004.
5.Overview of recent supercomputers, Aad J. van der