</p>

<p>
Note that the prohibition on introducing data races
does not apply if the compiler can prove that the races
do not affect correct execution on the target platform.
For example, on essentially all CPUs, it is valid to rewrite
</p>

<pre>
n := 0
for i := 0; i < m; i++ {
	n += *shared
}
</pre>

into:

<pre>
n := 0
local := *shared
for i := 0; i < m; i++ {
	n += local

- Add a new `distribute-cpus-across-numa` option to the static `CPUManager` policy. When enabled, this will trigger the `CPUManager` to evenly distribute CPUs across NUMA nodes in cases where more than one NUMA node is required to satisfy the allocation. ([#105631](https://github.com/kubernetes/kubernetes/pull/105631), [@klueska](https://github.com/klueska))...

- Fixes regression in CPUManager that caused freeing of exclusive CPUs at incorrect times ([#90377](https://github.com/kubernetes/kubernetes/pull/90377), [@cbf123](https://github.com/cbf123)) [SIG Cloud Provider and Node]

- Fixes regression in CPUManager that caused freeing of exclusive CPUs at incorrect times ([#90377](https://github.com/kubernetes/kubernetes/pull/90377), [@cbf123](https://github.com/cbf123)) [SIG Cloud Provider and Node]

- User can choose a different static policy option `SpreadPhysicalCPUsPreferredOption` to spread cpus across physical cpus for some specific applications ([#123733](https://github.com/kubernetes/kubernetes/pull/123733), [@Jeffwan](https://github.com/Jeffwan)) [SIG Node]

	sysCPUAvgIdleMD   = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time")
	sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time")
	sysCPULoadMD      = NewGaugeMD(sysCPULoad, "CPU load average 1min")
	sysCPULoadPercMD  = NewGaugeMD(sysCPULoadPerc, "CPU load average 1min (percentage)")
	sysCPUNiceMD      = NewGaugeMD(sysCPUNice, "CPU nice time")
	sysCPUStealMD     = NewGaugeMD(sysCPUSteal, "CPU steal time")

- kubeadm: Implemented preflight check to ensure that number of CPUs ([#70048](https://github.com/kubernetes/kubernetes/pull/70048), [@bart0sh](https://github.com/bart0sh))

- Fix a race in the timeout handler that could lead to kube-apiserver crashes ([#108455](https://github.com/kubernetes/kubernetes/pull/108455), [@Argh4k](https://github.com/Argh4k))
- Fix container creation errors for pods with cpu requests bigger than 256 cpus ([#106570](https://github.com/kubernetes/kubernetes/pull/106570), [@odinuge](https://github.com/odinuge))

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running

     */
    public void find(char c) {
        int cpos = pos;
        while (cpos < input.length()) {
            if (input.charAt(cpos) == c) {
                break;
            }
            cpos++;
        }
        pos = cpos;
    }

    /**