Project: platform/bionic ec2ab73 : Minor tweak to get memory around corrupted heap chunks dumped.Į1dd3c2 : bionic: import heaptracker as chk_mallocħd2e24e : bionic: introduce Ģ481468 : Print the corrupted address passed to free().Ĭ84ff11 : Print the corrupted address passed to free().ī23f193 : Ensure that the port number and TXID are properly randomized.Ġ8e72d0 : bionic: add support for non-NEON memcpy() on NEON SoCsĠ8b51e2 : Implement the "abort" stub in assembly for ARM.ī091dd9 : libc: continue to use Android's custom linker scriptĮd87404 : Update f_accessory.h kernel headerĤa9d6e5 : Fix segv when unwinding stack past _libc_init.ĭ515ce4 : Bionic: Fix wrong prototype of system call clock_nanosleepĤ1070dd : bionic: Fix wrong prototype of system call getresuid/getresgidĮ5bf068 : bionic: fix NULL parameter failure in getcwd()Įe18fb4 : libstdc++: Fix x86 thread-safe one-time-construction implementation.Į54cc75 : Update unistd.h for new syscallsġa78fbb : Initialize TLS before any application code is run.Īd7ff82 : Revert "linker: remove STB_LOCAL hack"ħf03d23 : Revert "linker: remove STB_LOCAL hack"Ĭd15bac : Fix segv when unwinding stack past _libc_init.īd0383a : libm: fix invalid result of function remquo/remquofĠfdc190 : Update linux/input.h to version 3.4.Ġ7a387e : libc/kernel: update cleaned v4l2 headerġ7ed54d : libc/kernel-headers: Auto generated files for netfilter/xt_IDLETIMERĨc4f3ce : linker: surround "debug_verbosity" by "#if LINKER_DEBUG"ģa7ea52 : linker: enable -fvisibility=hiddenĭdb2f13 : Revert "libc/kernel: Add rules to autogenerate device specific kernel headers"Ĩ2fa43f : Clean Kernel headers are generated by running libc/kernel/tools/update_all.py script. A sub-device can have just one compute unit.ĮDIT: As was brought to my attention in the comments box by AMD GPUs don't support device fission as of May 2015.Project: platform/abi/cpp eb789ea : Fix for issue 28721.
However this probably won't give you very consistent results.ģ) Finally, you can also partition your device into multiple sub-devices, and then run the kernel on one these sub-devices. Using, for example, a local work size of 256, this means you're only going to use two work groups, and thus two GPU compute units (512 / 256 = 2).Ģ) Another way is to test your kernel while there is another very long kernel running in the background.
there are 4096 work units to process), reduce it to 512 and make each kernel instance process 8 work units (512 * 8 = 4096) using an outward for loop. For example if your global work size is currently 4096 (i.e. Considering, in an abstract way, that your kernels currently process one work unit:ġ) The first way is to reduce the global work size, and add an outward loop to the kernel so that each kernel instance processes more than one work unit. You have three two ways of doing this, taking into account that you only want to run the kernel once.
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