Just Testing

Lambda Science
About Me

I research and teach programming languages, compilers, and their applications at the University of New South Wales (UNSW), Sydney. My main interest is in functional and parallel programming, and in particular, in Haskell.


My Twitter handle is TacticalGrace.
Check out my UNSW website.

My Other Sites
     
Tags
Get Updates
Filed under

gpgpu

See all posts on posterous with this tag »
 

Second beta release for the CUDA backend of Accelerate

The second beta release of Data.Array.Accelerate (version 0.8.0.0) includes support for all array operations in the CUDA backend — except for a new stencil operation that is new in this release and currently only supported by the interpreter.  The CUDA backend requires CUDA 3.x and has been tested on consumer-grade GeForce cards, TESLA high-performance GPUs, and the new Fermi cards.

If you are interested in general-purpose GPU programming in Haskell, give this release a spin — it is available on Hackage.  While it is far from perfect, it should already prove useful for a considerable range of applications.  Together with the other Accelerate developers, I would be very interested to hear what works for you and what doesn't.  We are also interested in suggestions for the future development of the library.  Accelerate has a mailing list and a bug tracker on which we also accept feature requests.

Filed under  //  edsl   gpgpu   haskell   parallelism  
Comments (0)
Posted
 

First release of the CUDA backend for Accelerate

During the first Australian Haskell Hackathon, AusHac2010, we finally managed to complete the integration of the CUDA backend, written by Sean Lee and Trevor McDonell, into the array EDSL Accelerate.  It still doesn't cover the complete functionality of the current version of the Accelerate EDSL, but already allows for interesting GPU computations.  The package source (version 0.7.1.0) can be obtained from Hackage as usual.  There is now also a bug tracker.

Filed under  //  edsl   gpgpu   haskell   parallelism  
Comments (0)
Posted
 

NVIDIA’s next generation GPU architecture has a lot for HPC to love

Yesterday, NVIDIA presented its next-generation GPU architecture, called "Fermi": http://insidehpc.com/2009/09/30/nvidia-next-generation-gpu-fermi-targets-hpc-supercomputing/

In addition to more raw computing power, Fermi brings advances that make it even more interesting for general-purpose computations than the current NVIDIA GPUs. In particular, it seems to support function pointers —at least they claim support for virtual functions— and improved support for double-precision floating-point numbers as well as coarse-grained MIMD support in the form of "concurrent kernel execution".

Filed under  //  accelerate   fermi   gpgpu  
Comment (1)
Posted
 

Running Haskell Array Computations on a GPU

Video of my talk at the Haskell Implementors' Workshop: 

The slides are available from a previous post: http://justtesting.posterous.com/haskell-arrays-accelerated-0

Filed under  //  edsl   gpgpu   haskell   parallelism  
Comments (0)
Posted
 

Haskell Arrays, Accelerated

The slides from my talk Haskell Arrays, Accelerated (Using GPUs) at the Haskell Implementors’ Workshop (that was co-located with ICFP 2009 in Edinburgh) are now available. The talk introduces a novel framework, based on an embedded domain-specific language of multi-dimensional array computations, targeting GPUs and other acceleration hardware.

Haskell Arrays Accelerated with GPUs

Filed under  //  edsl   gpgpu   haskell   parallelism  
Comments (0)
Posted
 

Tim Sweeney's SIGGRAPH 2009 talk.

http://graphics.cs.williams.edu/archive/SweeneyHPG2009/TimHPG2009.pdf

Tim Sweeney shares his vision of the future of high-end computer graphics and games programming.  Functional programming and data parallelism play an important role.

Filed under  //  gpgpu   parallelism  
Comments (0)
Posted