Matrix multiplication benchmarks (Shader 1,2n)

WebGL2-compute based NxN matrix multiplication C = A x B benchmark. Fixed random A, B 4096x4096 buffers are used for calculations, therefore You can set new N value (up to N=4096, multiple of TS). 6 shaders Sh1, 2 with tile sizes (local_size_x,y) TS = 8, 16, 32 are precompiled. it - number of iterations. FLOPS = 2 N3 / Tmin.

calculating
N= TS= Sh= it=

GeForce RTX 2070, OpenGL backend, Windows 10, 64 bit (N=4096, TS=32)
"Naive" shader   0.75 TFLOPS
"Tiled" shader   1.11 TFLOPS.

I re-run all programs many times (press "Run" button) and try to choose "highest representative" values. Set N = 128 to see overheads (~1.4 ms).

Comments

Dummy operator gl.getBufferSubData()
  gl.dispatchCompute(N/TS, N/TS, 1)
  gl.memoryBarrier(gl.SHADER_STORAGE_BARRIER_BIT)
  gl.getBufferSubData(gl.SHADER_STORAGE_BUFFER, 0, result)
  var ti = performance.now()
is used to get compute execution time.
GEMM tests on RTX 2070     updated 16 July 2019