PGI CDK Cluster Development Kit includes compilers and tools specifically optimized for developing, debugging and tuning MPI or hybrid MPI/ OpenMP cluster applications. It includes support for MPICH-1, MPICH-2, OpenMPI, HP-MPI and MSMPI over Ethernet and MVAPICH over InfiniBand. Available for Linux or Windows HPC Server 2008

Technical Features

• PGF95 OpenMP and auto-parallel Fortran 90/95 compiler
• PGF77 OpenMP and auto-parallel FORTRAN 77 compiler
• PGHPF data parallel compiler with native full HPF language support (Linux only)
• PGC++ OpenMP and auto-parallel ANSI C++ compiler
• PGCC OpenMP and auto-parallel ANSI/K&R C99 compiler
• PGDBG graphical Cluster MPI and OpenMP debugger
• PGPROF graphical Cluster MPI and OpenMP performance profiler
• Full 64-bit support on AMD Opteron, Athlon 64 and Intel Pentium and Xeon with EM64T
• Includes separate 64-bit x64 and 32-bit x86 development environments and compilers
• Optimizing 64-bit code generators with automatic or manual platform selection
• AMD64 and Intel 64 optimizations including SSE/SSE2/SSE3/SSSE3 and SSE4a/ABM, prefetching, use of extended register sets, and 64-bit addressing
• Intel Pentium II/III/4/Xeon and AMD Athlon XP/MP optimizations including SSE/SSE2 and prefetching where supported in hardware
• Executables generated by PGI's 32-bit x86 compilers can run unchanged on AMD64 or Intel 64 processor-based systems

PGI Cluster Development Kit Key Features

• Floating multi-user seats for the PGI parallel PGF95, PGCC and PGC++ compilers. World-class single core and multicore processor performance
• Full native support for OpenMP directive- and pragma-based SMP or multicore parallelization in PGF95, PGCC and PGC++
• Auto-parallelization for the latest AMD Opteron and Intel Core 2 multicore processors
• Graphical PGDBG parallel debugger and PGPROF parallel performance profiler for auto-parallel, thread-parallel, OpenMP and MPI programs
• Pre-configured MPI message-passing libraries and utilities for Linux
• Pre-configured batch queueing system to manage the workload and throughput on a Linux cluster
• Optimized BLAS and LAPACK math libraries
• Comprehensive support for all major Linux distributions and Microsoft Windows HPC Server 2008
• Installation utilities to simplify the setup and management of your Linux cluster
• Hard copy documentation including the PGI User's Guide and PGI Tools Guide
• PGI Roll option*.

Beginning with PGI 2010, PGI expanded its product line to include offerings for either x64+GPU or x64 only platforms. "PGI Accelerator" products—the x64+GPU platform products—include support for the directive-based PGI Accelerator programming model and from within the PGI Accelerator Fortran compiler, support for CUDA Fortran. PGI Accelerator compilers are supported on all Intel and AMD x64 processor-based systems with CUDA-enabled NVIDIA GPUs running Linux, Mac OS X or Windows.

PGI Accelerator compilers (including CUDA Fortran) are contained in all PGI 2010 or later.

• 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.
  
• Accelerator (optional): NVIDIA CUDA-enabled GPU with compute capability 1.0 or later.

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

• 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.