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/linux/tools/perf/tests/shell/lib/
H A Dperf_metric_validation.py13 self.workloads = [wl] # multiple workloads possible
33 .format(self.metric, self.collectedValue, self.workloads,
49 self.workloads = [x for x in workload.split(",") if x]
204 … [TestError([m], self.workloads[self.wlidx], negmetric[m], 0) for m in negmetric.keys()])
279 …self.errlist.append(TestError([m['Name'] for m in rule['Metrics']], self.workloads[self.wlidx], [],
282 …self.errlist.append(TestError([m['Name'] for m in rule['Metrics']], self.workloads[self.wlidx], [v…
334 self.errlist.extend([TestError([name], self.workloads[self.wlidx], val,
346 allres = [{"Workload": self.workloads[i], "Results": self.allresults[i]}
347 for i in range(0, len(self.workloads))]
425 workload = self.workloads[self.wlidx]
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/linux/Documentation/mm/damon/
H A Dindex.rst16 of the size of target workloads).
21 their workloads can write personalized applications for better understanding
22 and optimizations of their workloads and systems.
/linux/Documentation/gpu/
H A Ddrm-compute.rst2 Long running workloads and compute
5 Long running workloads (compute) are workloads that will not complete in 10
7 This means that other techniques need to be used to manage those workloads,
H A Ddrm-vm-bind-async.rst103 exec functions. For long-running workloads, such pipelining of a bind
109 operations for long-running workloads will not allow for pipelining
110 anyway since long-running workloads don't allow for dma-fences as
121 deeply pipelined behind other VM_BIND operations and workloads
/linux/Documentation/driver-api/
H A Ddma-buf.rst292 randomly hangs workloads until the timeout kicks in. Workloads, which from
305 workloads. This also means no implicit fencing for shared buffers in these
327 faults on GPUs are limited to pure compute workloads.
343 - Compute workloads can always be preempted, even when a page fault is pending
346 - DMA fence workloads and workloads which need page fault handling have
349 reservations for DMA fence workloads.
352 hardware resources for DMA fence workloads when they are in-flight. This must
357 all workloads must be flushed from the GPU when switching between jobs
361 made visible anywhere in the system, all compute workloads must be preempted
372 Note that workloads that run on independent hardware like copy engines or other
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/linux/Documentation/timers/
H A Dno_hz.rst26 workloads, you will normally -not- want this option.
39 right approach, for example, in heavy workloads with lots of tasks
42 hundreds of microseconds). For these types of workloads, scheduling
56 are running light workloads, you should therefore read the following
118 computationally intensive short-iteration workloads: If any CPU is
228 aggressive real-time workloads, which have the option of disabling
230 some workloads will no doubt want to use adaptive ticks to
232 options for these workloads:
252 workloads, which have few such transitions. Careful benchmarking
253 will be required to determine whether or not other workloads
/linux/drivers/cpuidle/
H A DKconfig33 Some workloads benefit from using it and it generally should be safe
45 Some virtualized workloads benefit from using it.
/linux/drivers/crypto/cavium/nitrox/
H A DKconfig18 for accelerating crypto workloads.
/linux/drivers/infiniband/hw/mana/
H A DKconfig8 for workloads (e.g. DPDK, MPI etc) that uses RDMA verbs to directly
/linux/Documentation/admin-guide/
H A Dworkload-tracing.rst34 to evaluate safety considerations. We use strace tool to trace workloads.
67 We used strace to trace the perf, stress-ng, paxtest workloads to illustrate
69 be applied to trace other workloads.
101 paxtest workloads to show how to analyze a workload and identify Linux
102 subsystems used by these workloads. Let's start with an overview of these
103 three workloads to get a better understanding of what they do and how to
173 by three workloads we have chose for this analysis.
312 Tracing workloads
315 Now that we understand the workloads, let's start tracing them.
595 information on the resources in use by workloads using strace.
/linux/Documentation/networking/device_drivers/ethernet/intel/
H A Didpf.rst81 Driver defaults are meant to fit a wide variety of workloads, but if further
89 is tuned for general workloads. The user can customize the interrupt rate
90 control for specific workloads, via ethtool, adjusting the number of
/linux/Documentation/accounting/
H A Dpsi.rst10 When CPU, memory or IO devices are contended, workloads experience
19 such resource crunches and the time impact it has on complex workloads
23 scarcity aids users in sizing workloads to hardware--or provisioning
/linux/Documentation/admin-guide/pm/
H A Dintel_uncore_frequency_scaling.rst23 Users may have some latency sensitive workloads where they do not want any
24 change to uncore frequency. Also, users may have workloads which require
133 latency sensitive workloads further tuning can be done by SW to
/linux/tools/perf/tests/
H A Dbuiltin-test.c147 static struct test_workload *workloads[] = { variable
159 for (unsigned i = 0; i < ARRAY_SIZE(workloads) && ({ workload = workloads[i]; 1; }); i++)
H A DBuild80 perf-test-y += workloads/
/linux/Documentation/tools/rtla/
H A Dcommon_options.txt55 …ior differs between workload types. User workloads created by rtla will inherit rtla's cgroup. Ker…
H A Dcommon_timerlat_options.txt58 Set timerlat to run without a workload, and then dispatches user-space workloads
/linux/fs/squashfs/
H A DKconfig106 poor performance on parallel I/O workloads when using multiple CPU
121 poor performance on parallel I/O workloads when using multiple CPU
159 reducinng performance in workloads like fio-based benchmarks.
/linux/Documentation/filesystems/ext4/
H A Dorphan.rst18 global single linked list is a scalability bottleneck for workloads that result
/linux/kernel/configs/
H A Dhardening.config5 # no) performance impact on most workloads, and have a reasonable level
/linux/Documentation/driver-api/md/
H A Draid5-cache.rst58 completely avoid the overhead, so it's very helpful for some workloads. A
74 mode depending on the workloads. It's recommended to use a cache disk with at
/linux/Documentation/admin-guide/hw-vuln/
H A Dcore-scheduling.rst9 workloads may benefit from running on the same core as they don't need the same
24 world workloads. In theory, core scheduling aims to perform at least as good as
30 total number of CPUs. Please measure the performance of your workloads always.
/linux/lib/
H A DKconfig.kfence69 evaluated given target workloads and system architectures. Notably,
/linux/Documentation/arch/x86/
H A Dsgx.rst249 SGX workloads, (or just any new workloads), and migrate all valuable
250 workloads. Although a machine reboot can recover all EPC memory, the bug
/linux/Documentation/block/
H A Dwriteback_cache_control.rst11 behavior obviously speeds up various workloads, but it means the operating

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