Parallel algorithms avaiable on CUDA,OCL,DC,CAL: status update

lin alg status update:
Matmul:
CUDA: CUBLAS (no code) Volkov (code) and yesterday post (assembly fastest to date 480 gflops)
CAL: beyond3d cal 1tflop matmul post
OCL: hazeman post above uses port of cal code to propietary but similar to CL code..
DC: bernaclejunior testing with doubles doesn't worked (XNA forums)
Matvec:
CUDA: CUBLAS (closed) and some papers use custom code (magma, paper mid 2008) (as 20-50% faster)
OCL: Bealto post above (high efficient on AMD and ATI) should be easy to port DC
Sparse matvec:
CUDA: CNC,CUSP,etc..
OCL,DC: BernacleJunior post on AMD and XNA forums (working on it)..

FFT:
CUDA: CUFFT 2 papers at SC08 having higher perf 3d ftts and 2d paper ->d3dCx
DC: has lib
OCL:
Apple code is 2x-3x slower than CUFFT seems (on Nvidia Linux )(also 10.6.2 is slow go see 10.6.3..)
on AMD doesn't work for size >512^2 in 2.0 or 2.01 fixed internally seems..
AMD 2.01 sample is hard coded 1024 perf?

Sort:
CUDA: CUDPP, CUDA sample (code)
OCL,DC: BernacleJunior post on AMD and XNA forums.He claims near 400Mkeys/s on vs state of the art Nvidia sorting less 200mkeys on GTX285.
Also reportedly Lee Hows has fast code working!

also CUDPP has triangular solvers and soon graph algos and hashes..