VideoCardz has never been sponsored by AMD, Intel, or NVIDIA.In addition, please note that comments that attack or harass an individual directly will result in a ban without warning. A failure to comply with these rules will result in a warning and, in extreme cases, a ban.Comments complaining about the post subject or its source will be removed.Comments and usernames containing language or concepts that could be deemed offensive will be deleted.Discussions about politics are not allowed on this website. Including a link to relevant content is permitted, but comments should be relevant to the post topic. Comments deemed to be spam or solely promotional in nature will be deleted.AMD Radeon R9 390/290 Specifications (June 13th) If not, then we will have to rely on the data provided solely by AIB partners. It is unclear if AMD is planning to release reference models of Radeon 390 series. It means that both cards are direct rebadges of R9 290X and R9 290 respectively. The changes are limited to clock changes and addition of 8GB variant to Hawaii PRO. The first one is full Hawaii XT GPU codenamed Grenada XT featuring 2816 Stream Cores, and the card on the right is Grenada PRO (Hawaii PRO) with 2560 Stream Cores. Here are the first GPU-Z screenshots from upcoming Radeon R9 390 series. AMD Radeon R9 390X and R9 390 GPU-Z screengrabs leakedĪMD Radeon R9 390X (left) / AMD Radeon R9 390 (right) Well unfortunately, that may not be true. If this datasheet was correct then Radeon R9 390 would be in fact using full Hawaii silicon. One -> datasheet<- in particular was very interesting. Still very interesting to compare the sequence of times results.Yesterday Brazilian website leaked full list of MSI Radeon 300 graphics cards along with pictures and, more importantly datasheets. Redeon58700, Execution time of test: 0.085571 s Pyopencl i5 CPU 750: Execution time of test: 0.00238112 s Pyopencl radeon 5870:Execution time of test: 0.0104431 s Pyopencl i5 CPU 750: Execution time of test: 4.369e-05 sįirst questions pack: what is pyopencl i5 CPU 750? why he faster "normal"('Execution time of test without OpenCL) in 250 times? and why he faster "pyopencl radeon 5870" in ~38 times? Pyopencl radeon 5870: Execution time of test: 0.00168922 s ('Platform vendor:', 'Advanced Micro Devices, Inc.') ![]() ('Platform name:', 'AMD Accelerated Parallel Processing') Print("Execution time of test: %g s" % elapsed)Ĭl.enqueue_read_buffer(queue, dest_buf, c).wait() _global const float *b, _global float *c)Įxec_evt = prg.sum(queue, a.shape, None, a_buf, b_buf, dest_buf)Įlapsed = 1e-9*(exec_ - exec_) Properties=cl.command_queue_properties.PROFILING_ENABLE)Ī_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a)ī_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b)ĭest_buf = cl.Buffer(ctx, mf.WRITE_ONLY, b.nbytes) Print("Device compute units:", device.max_compute_units) Print("Device max clock speed:", device.max_clock_frequency, 'MHz') Print("Device type:", cl.device_type.to_string(device.type)) Print("Platform version:", platform.version) Print("Platform vendor:", platform.vendor) ![]() Print("Platform profile:", platform.profile) Print("Execution time of test without OpenCL: ", time2 - time1, "s") ![]() Replaced by numbers, the variable zz import pyopencl as clĪ = (zz).astype(numpy.float32)ī = (zz).astype(numpy.float32)Ĭ_result = c_result * (a + b) I was a little modified the standard code from
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