![]() hwinfo will list the 'Driver:' check the above file to see if it is statically built. Everything with a 'Y' is statically built. Open the file everything with a 'M' is built as a module. Such jobs are self-contained, in the sense that they can be executed and completed by a batch of GPU threads entirely without intervention by the host process, thereby gaining optimal benefit from the parallel graphics hardware. If your linux has a /proc/config.gz That has all the built modules. The CUDA Toolkit targets a class of applications whose control part runs as a process on a general purpose computing device, and which use one or more NVIDIA GPUs as coprocessors for accelerating single program, multiple data (SPMD) parallel jobs. The documentation for nvcc, the CUDA compiler driver. suppress-stack-size-warning ( -suppress-stack-size-warning) ![]() suppress-arch-warning ( -suppress-arch-warning) warn-on-local-memory-usage ( -warn-lmem-usage) warn-on-double-precision-use ( -warn-double-usage) disable-optimizer-constants ( -disable-optimizer-consts) allow-expensive-optimizations ( -allow-expensive-optimizations) Wext-lambda-captures-this ( -Wext-lambda-captures-this) The Linux kernel also provides a level of abstraction on top. Wmissing-launch-bounds ( -Wmissing-launch-bounds) operate at the higher level of reading and writing files to disk, for example. Wdefault-stream-launch ( -Wdefault-stream-launch) Wno-deprecated-declarations ( -Wno-deprecated-declarations) Wno-deprecated-gpu-targets ( -Wno-deprecated-gpu-targets) The Linux kernel then associates those functions with the character device, so for example when a user-mode application calls the read () function on a character device file, it will result in a syscall and then the kernel will route this call to a read function specified when creating the driver. ![]() keep-device-functions ( -keep-device-functions) allow-unsupported-compiler ( -allow-unsupported-compiler)
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