Related Issues (20)
- nonPartialWrite capability for buffers HOT 3
- Enqueue mode with single gpu (and for device to device pipeline) ---- lower latency per command HOT 3
- Read-only and write-only flags for ClArray HOT 2
- ClArray.name to bind an array to a kernel parameter with exact spelling HOT 1
- ClArray.async to make an array copy operation done on another commandQueue(concurrently) HOT 1
- clNumberCruncher.enqueueModeAsyncEnable to enqueue different kernels and arrays concurrently
- single device pipeline: overlapping regions percentage in total latency
- single device pipeline: kernel repeat option
- add "batch mode compute"(pool of devices for pool of kernels) with multiple devices where each compute() is computed by 1 device only, with greedy scheduling
- array.nextParam(array2).task() ---> creates ClTask to compute later in pool, with all the fields set at that time but with the latest array data
- add multiple opencl-kernel instances for different compute-id values, for tiled computing, in task pool, with device pool
- add callback option to ClTask
- add duplicated compute option to device pool / task pool / task for initializing same buffer on all devices
- add task types to control pool behavior (sync, broadcast task, shutdown devices)
- 1D NBODY scores HOT 9
- Can you set pipeline mode for each device separately? HOT 5
- Is there an example of generating a Unity Texture? HOT 4
- Any of the opencl 2 version does not work HOT 38
- How to share Big Array, like a lookup table among various kernel calls HOT 6
- Mandelbrot benchmark's or other test's source
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