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CLBLAS.jl

Build status:

AMD clBLAS bindings for Julia.

Installation notes

if the download of the binary fails on linux, you may also try to install clblas with sudo apt-get install libclblas-dev and then rerun Pkg.build("CLBLAS").

Current status

• Low-level bindings
• Partial implementation of high-level API similar to Base.LinAlg.BLAS

Example

using OpenCL
import OpenCL.cl.CLArray
import CLBLAS
const clblas = CLBLAS


clblas.setup()
device, ctx, queue = clblas.get_next_compute_context()
alpha = 1.0
beta = 0.0

hA = rand(5, 10)
hB = rand(10, 5)
A = CLArray(queue, hA)
B = CLArray(queue, hB)
C = cl.zeros(queue, 5, 5)

clblas.gemm!('N', 'N', alpha, A, B, beta, C)
hC = cl.to_host(C)
if isapprox(hC, hA * hB)
    info("Success!")
else
    error("Results diverged")
end

Caveats

• Complex64/CL_float2 doesn't work by default. This is caused by some weird incompatibility between clang (default for Julia) and gcc (default for clBLAS), so the only way to fix it right now is to manually compile clBLAS using clang,