* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

          sortedElements[uniques] = sortedElements[i];
          uniques++;
        }
      }
      Arrays.fill(sortedElements, uniques, length, null);
      if (maybeExpand && uniques * 4 > length * 3) {
        // lots of nonduplicated elements, expand the array by 50%
        sortedElements =
            Arrays.copyOf(sortedElements, IntMath.saturatedAdd(length, length / 2 + 1));
      }

		ng.Go(ctx, func() error {
			if client == nil {
				return errPeerNotReachable
			}
			return client.LoadUser(ctx, accessKey, temp)
		}, idx, *client.host)
	}
	return ng.Wait()
}

// LoadGroup - loads a specific group on all peers.
func (sys *NotificationSys) LoadGroup(ctx context.Context, group string) []NotificationPeerErr {
	ng := WithNPeers(len(sys.peerClients)).WithRetries(1)
	for idx, client := range sys.peerClients {

1,f.indexOf(";"))),e=parseFloat(f.substring(f.indexOf(";")+1,f.indexOf("]"))),h=!0),""!==i&&(j=!0),","===g){if(a.indexOf(".")>-1)return!1;a=a.replace(",",".")}if(""===a.replace(/[0-9-]/g,"")&&(!h||a>=d&&a<=e)&&(!j||a%i===0))return!0;if(f.indexOf("float")>-1&&null!==a.match(new RegExp("^([0-9-]+)\\.([0-9]+)$"))&&(!h||a>=d&&a<=e)&&(!j||a%i===0))return!0}return!1},errorMessage:"",errorMessageKey:"badInt"}),a.formUtils.addValidator({name:"alphanumeric",validatorFunction:function(b,c,d,e){var f="^([a...

    }

    private @Nullable Object[] lastEntryForEachKey(
        @Nullable Object[] localAlternatingKeysAndValues, int size) {
      Set<Object> seenKeys = new HashSet<>();
      BitSet dups = new BitSet(); // slots that are overridden by a later duplicate key
      for (int i = size - 1; i >= 0; i--) {
        Object key = requireNonNull(localAlternatingKeysAndValues[2 * i]);
        if (!seenKeys.add(key)) {
          dups.set(i);

     */
    @CheckForNull
    private static <K, V> Entry<K, V>[] lastEntryForEachKey(Entry<K, V>[] entries, int size) {
      Set<K> seen = new HashSet<>();
      BitSet dups = new BitSet(); // slots that are overridden by a later duplicate key
      for (int i = size - 1; i >= 0; i--) {
        if (!seen.add(entries[i].getKey())) {
          dups.set(i);
        }
      }
      if (dups.isEmpty()) {

el--nx?i-&drojfk--nx?vleslm--nx??j-ekerom--nx?k-rekrem--nx?u-&dnalr--nx?goksr--nx?sensk--nx??v-nekyr--nx?w-&k&abrd--nx?ivjg--nx??oryso--nx??y-y&dnas--nx?mrak--nx?n&art--nx?nif--nx??reva--nx??z-smort--nx??v!.sg?ledatskork?reiks??wh-antouvn--nx?x&9-dlofts--nx.aoq-relv--nx?d-nmaherk--nx?f-dnalnks--nx?h-neltloh--nx?i-drgeppo--nx?j-gve&gnal--nx?lreb--nx??m-negnilr--nx?n-drojfvk--nx??y&7-ujdaehal--nx?8-antouvig--nx?b-&dlofrs--nx?goksmr--nx?kivryr--nx?retslj--nx??e-nejsom--nx?f-y&krajb--nx?re&dni--nx?t...

el--nx?i-&drojfk--nx?vleslm--nx??j-ekerom--nx?k-rekrem--nx?u-&dnalr--nx?goksr--nx?sensk--nx??v-nekyr--nx?w-&k&abrd--nx?ivjg--nx??oryso--nx??y-y&dnas--nx?mrak--nx?n&art--nx?nif--nx??reva--nx??z-smort--nx??v!.sg?ledatskork?reiks??wh-antouvn--nx?x&9-dlofts--nx.aoq-relv--nx?d-nmaherk--nx?f-dnalnks--nx?h-neltloh--nx?i-drgeppo--nx?j-gve&gnal--nx?lreb--nx??m-negnilr--nx?n-drojfvk--nx??y&7-ujdaehal--nx?8-antouvig--nx?b-&dlofrs--nx?goksmr--nx?kivryr--nx?retslj--nx??e-nejsom--nx?f-y&krajb--nx?re&dni--nx?t...

		c0 := sep[0]
		c1 := sep[1]
		i := 0
		t := len(s) - n + 1
		fails := 0
		for i < t {
			if s[i] != c0 {
				// IndexByte is faster than bytealg.Index, so use it as long as
				// we're not getting lots of false positives.
				o := IndexByte(s[i+1:t], c0)
				if o < 0 {
					return -1
				}
				i += o + 1
			}
			if s[i+1] == c1 && Equal(s[i:i+n], sep) {
				return i
			}
			fails++

// bms : 2014-10-30 Bristol-Myers Squibb Company
bms

// bmw : 2014-01-09 Bayerische Motoren Werke Aktiengesellschaft
bmw

// bnpparibas : 2014-05-29 BNP Paribas
bnpparibas

// boats : 2014-12-04 XYZ.COM LLC
boats

// boehringer : 2015-07-09 Boehringer Ingelheim International GmbH
boehringer

// bofa : 2015-07-31 Bank of America Corporation
bofa