Parallel Fortran, C and C++ Compilers & Tools for Programming HPC Clusters

In combination with the Linux or Windows HPC Server 2008 operating systems, the PGI CDK® Cluster Development Kit® compilers and development tools enable use of networked clusters of AMD or Intel x64 processor-based workstations and servers to tackle the largest scientific computing applications. For Linux, the PGI CDK includes pre-configured versions of MPI for Ethernet or InfiniBand, and a pre-configured batch queueing system. On Windows HPC Server 2008, the PGI CDK integrates with MSMPI and the job scheduler to enable development, debugging and tuning of high-performance MPI or hybrid MPI/OpenMP applications written in Fortran, C or C++.

Parallel Fortran, C and C++ Compilers

PGI compilers offer world-class performance and features including auto-parallelization for multicore, OpenMP directive-based parallelization, and support for the PGI Unified Binary™ technology. The PGI Unified Binary streamlines cross-platform support by combining into a single executable file code optimized for multiple x64 processors. This gives you the assurance that your applications will run correctly and with optimal performance regardless of the type of x64 processor on which they are deployed. PGI's state-of-the-art compiler optimization technologies include SSE vectorization, auto-parallelization, inter-procedural analysis and optimization, memory hierarchy optimizations, function inlining (including library functions), profile feedback optimization, CPU-specific micro-architecture optimizations and more. PGI is the ideal solution for migrating compute-intensive legacy applications from RISC/UNIX servers and workstations to 64-bit Linux or Windows clusters.

About PGI Accelerator Compilers
With Release 9.0, PGI Fortran and C compilers support directive-based programming of x64+NVIDIA Linux systems; PGF95 and PGCC accelerator compilers are supported on all Intel and AMD x64 processor-based systems with CUDA-enabled NVIDIA GPUs.

PGI Accelerator compilers are included in all PGI Linux download packages. Either trial license keys or updated permanent license keys are required to enable them. Please see the PGI Accelerator page for more information.

The PGDBG OpenMP/MPI Debugger

Debugging a cluster MPI application can be extremely challenging. The PGDBG® debugger provides a comprehensive set of graphical user interface (GUI) elements to assist you in this process. PGDBG provides the ability to separately debug and control OpenMP threads and MPI processes on your Linux or Windows cluster. Step, Next, Break, Halt, Wait or Continue OpenMP threads or MPI processes individually, as a group, or in user-defined process/thread subsets. PGDBG can even display the state of MPI message queues, enabling you to quickly isolate and resolve message-passing deadlock bugs. Using a single integrated multi-process debugging window, PGDBG provides precise control and feedback on the state of every MPI process and OpenMP thread simultaneously, with fully integrated capabilities for debugging hybrid parallel programs that use MPI message-passing between nodes and OpenMP shared-memory parallelism within a multicore processor-based cluster node.

The main PGDBG window displays Fortran, C or C++ program source code, optionally interleaved with the corresponding x64 assembly code. Sub-windows enable watch points, register state dumps, and execution of a sequence of user-defined commands at every break point. The main window includes one-touch buttons for the most common debugging commands. A simple and intuitive process/thread grid makes it easy to change the context of the source window and all sub-windows from one process to another with a single mouse click, greatly simplifying control over individual or collective OpenMP threads and MPI processes. PGDBG is interoperable with the Microsoft Visual C++ compiler on Windows HPC Server 2008, and with the GNU gcc/g++ compilers on Linux.

System Requirements

• Front-end Node: 64-bit x64 or 32-bit x86 processor-based workstation or server with one or more AMD Opteron or Intel Core 2 microprocessors.
  
• Cluster Nodes: 64-bit x64 or 32-bit x86 processor-based workstation or server with one or more AMD Opteron or Intel Core 2 microprocessors.

  Note: Heterogeneous systems that include both 32-bit and 64-bit processor-based workstations or servers are not supported.

• Network: Standard TCP/IP network such as Ethernet, Fast Ethernet or Gigabit Ethernet; high-performance InfiniBand network. Preferred configuration is a dedicated private network interconnecting the cluster nodes, with the designated front-end node also networked to a general purpose network.
• Operating System: Linux—On 32-bit x86 processor-based systems, the software must be co-installed with a version of the Linux operating system with kernel revision 2.4.18 or higher, On 64-bit processor-based systems, the software must be co-installed with 64-bit Linux with kernel revision 2.4.19 or higher.
  Windows—HPC Server 2008 or Compute Cluster Server 2003.
• Memory: Minimum 1 GB per cluster node. 2 GB recommended for front-end node.
  
• Hard Disk: 800 MB on front-end node; 50 MB on each cluster node.
  
• Other: Web browser and Adobe Acrobat Reader for viewing online documentation.