diff --git a/calculate_average_merykitty.sh b/calculate_average_merykitty.sh
new file mode 100755
index 0000000..7cee051
--- /dev/null
+++ b/calculate_average_merykitty.sh
@@ -0,0 +1,20 @@
+#!/bin/sh
+#
+#  Copyright 2023 The original authors
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
+
+
+JAVA_OPTS="--enable-preview --add-modules=jdk.incubator.vector" # -XX:+UnlockDiagnosticVMOptions -XX:PrintAssemblyOptions=intel -XX:CompileCommand=print,*.CalculateAverage_merykitty::iterate"
+time java $JAVA_OPTS --class-path target/average-1.0.0-SNAPSHOT.jar dev.morling.onebrc.CalculateAverage_merykitty
diff --git a/src/main/java/dev/morling/onebrc/CalculateAverage_merykitty.java b/src/main/java/dev/morling/onebrc/CalculateAverage_merykitty.java
new file mode 100644
index 0000000..e86ecee
--- /dev/null
+++ b/src/main/java/dev/morling/onebrc/CalculateAverage_merykitty.java
@@ -0,0 +1,391 @@
+/*
+ *  Copyright 2023 The original authors
+ *
+ *  Licensed under the Apache License, Version 2.0 (the "License");
+ *  you may not use this file except in compliance with the License.
+ *  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ */
+package dev.morling.onebrc;
+
+import java.io.IOException;
+import java.lang.foreign.Arena;
+import java.lang.foreign.MemorySegment;
+import java.lang.foreign.ValueLayout;
+import java.nio.ByteOrder;
+import java.nio.channels.FileChannel;
+import java.nio.channels.FileChannel.MapMode;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Path;
+import java.nio.file.StandardOpenOption;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.Map;
+import java.util.TreeMap;
+import jdk.incubator.vector.ByteVector;
+import jdk.incubator.vector.VectorOperators;
+import jdk.incubator.vector.VectorSpecies;
+
+public class CalculateAverage_merykitty {
+    private static final String FILE = "./measurements.txt";
+    private static final VectorSpecies<Byte> BYTE_SPECIES = ByteVector.SPECIES_PREFERRED;
+    private static final ValueLayout.OfLong JAVA_LONG_LT = ValueLayout.JAVA_LONG_UNALIGNED.withOrder(ByteOrder.LITTLE_ENDIAN);
+    private static final long KEY_MAX_SIZE = 100;
+
+    private record ResultRow(double min, double mean, double max) {
+        public String toString() {
+            return round(min) + "/" + round(mean) + "/" + round(max);
+        }
+
+        private double round(double value) {
+            return Math.round(value * 10.0) / 10.0;
+        }
+    }
+
+    private static class Aggregator {
+        private long min = Integer.MAX_VALUE;
+        private long max = Integer.MIN_VALUE;
+        private long sum;
+        private long count;
+    }
+
+    // An open-address map that is specialized for this task
+    private static class PoorManMap {
+        static final int R_LOAD_FACTOR = 2;
+
+        private static class PoorManMapNode {
+            byte[] data;
+            long size;
+            int hash;
+            Aggregator aggr;
+
+            PoorManMapNode(MemorySegment data, long offset, long size, int hash) {
+                this.hash = hash;
+                this.size = size;
+                this.data = new byte[BYTE_SPECIES.vectorByteSize() + (int) KEY_MAX_SIZE];
+                this.aggr = new Aggregator();
+                MemorySegment.copy(data, offset, MemorySegment.ofArray(this.data), BYTE_SPECIES.vectorByteSize(), size);
+            }
+        }
+
+        MemorySegment data;
+        PoorManMapNode[] nodes;
+        int size;
+
+        PoorManMap(MemorySegment data) {
+            this.data = data;
+            this.nodes = new PoorManMapNode[1 << 10];
+        }
+
+        Aggregator indexSimple(long offset, long size, int hash) {
+            hash = rehash(hash);
+            int bucketMask = nodes.length - 1;
+            int bucket = hash & bucketMask;
+            for (;; bucket = (bucket + 1) & bucketMask) {
+                PoorManMapNode node = nodes[bucket];
+                if (node == null) {
+                    this.size++;
+                    if (this.size * R_LOAD_FACTOR > nodes.length) {
+                        grow();
+                        bucketMask = nodes.length - 1;
+                        for (bucket = hash & bucketMask; nodes[bucket] != null; bucket = (bucket + 1) & bucketMask) {
+                        }
+                    }
+                    node = new PoorManMapNode(this.data, offset, size, hash);
+                    nodes[bucket] = node;
+                    return node.aggr;
+                }
+                else if (keyEqualScalar(node, offset, size, hash)) {
+                    return node.aggr;
+                }
+            }
+        }
+
+        void grow() {
+            var oldNodes = this.nodes;
+            var newNodes = new PoorManMapNode[oldNodes.length * 2];
+            int bucketMask = newNodes.length - 1;
+            for (var node : oldNodes) {
+                if (node == null) {
+                    continue;
+                }
+                int bucket = node.hash & bucketMask;
+                for (; newNodes[bucket] != null; bucket = (bucket + 1) & bucketMask) {
+                }
+                newNodes[bucket] = node;
+            }
+            this.nodes = newNodes;
+        }
+
+        static int rehash(int x) {
+            x = ((x >>> 16) ^ x) * 0x45d9f3b;
+            x = ((x >>> 16) ^ x) * 0x45d9f3b;
+            x = (x >>> 16) ^ x;
+            return x;
+        }
+
+        private boolean keyEqualScalar(PoorManMapNode node, long offset, long size, int hash) {
+            if (node.hash != hash || node.size != size) {
+                return false;
+            }
+
+            // Be simple
+            for (int i = 0; i < size; i++) {
+                int c1 = node.data[BYTE_SPECIES.vectorByteSize() + i];
+                int c2 = data.get(ValueLayout.JAVA_BYTE, offset + i);
+                if (c1 != c2) {
+                    return false;
+                }
+            }
+            return true;
+        }
+    }
+
+    // Parse a number that may/may not contain a minus sign followed by a decimal with
+    // 1 - 2 digits to the left and 1 digits to the right of the separator to a
+    // fix-precision format. It returns the offset of the next line (presumably followed
+    // the final digit and a '\n')
+    private static long parseDataPoint(Aggregator aggr, MemorySegment data, long offset) {
+        long word = data.get(JAVA_LONG_LT, offset);
+        // The 4th binary digit of the ascii of a digit is 1 while
+        // that of the '.' is 0. This finds the decimal separator
+        // The value can be 12, 20, 28
+        int decimalSepPos = Long.numberOfTrailingZeros(~word & 0x10101000);
+        int shift = 28 - decimalSepPos;
+        // signed is -1 if negative, 0 otherwise
+        long signed = (~word << 59) >> 63;
+        long designMask = ~(signed & 0xFF);
+        // Align the number to a specific position and transform the ascii code
+        // to actual digit value in each byte
+        long digits = ((word & designMask) << shift) & 0x0F000F0F00L;
+
+        // Now digits is in the form 0xUU00TTHH00 (UU: units digit, TT: tens digit, HH: hundreds digit)
+        // 0xUU00TTHH00 * (100 * 0x1000000 + 10 * 0x10000 + 1) =
+        // 0x000000UU00TTHH00 +
+        // 0x00UU00TTHH000000 * 10 +
+        // 0xUU00TTHH00000000 * 100
+        // Now TT * 100 has 2 trailing zeroes and HH * 100 + TT * 10 + UU < 0x400
+        // This results in our value lies in the bit 32 to 41 of this product
+        // That was close :)
+        long absValue = ((digits * 0x640a0001) >>> 32) & 0x3FF;
+        long value = (absValue ^ signed) - signed;
+        aggr.min = Math.min(value, aggr.min);
+        aggr.max = Math.max(value, aggr.max);
+        aggr.sum += value;
+        aggr.count++;
+        return offset + (decimalSepPos >>> 3) + 3;
+    }
+
+    // Tail processing version of the above, do not over-fetch and be simple
+    private static long parseDataPointTail(Aggregator aggr, MemorySegment data, long offset) {
+        int point = 0;
+        boolean negative = false;
+        if (data.get(ValueLayout.JAVA_BYTE, offset) == '-') {
+            negative = true;
+            offset++;
+        }
+        for (;; offset++) {
+            int c = data.get(ValueLayout.JAVA_BYTE, offset);
+            if (c == '.') {
+                c = data.get(ValueLayout.JAVA_BYTE, offset + 1);
+                point = point * 10 + (c - '0');
+                offset += 3;
+                break;
+            }
+
+            point = point * 10 + (c - '0');
+        }
+        point = negative ? -point : point;
+        aggr.min = Math.min(point, aggr.min);
+        aggr.max = Math.max(point, aggr.max);
+        aggr.sum += point;
+        aggr.count++;
+        return offset;
+    }
+
+    // An iteration of the main parse loop, parse some lines starting from offset.
+    // This requires offset to be the start of a line and there is spare space so
+    // that we have relative freedom in processing
+    // It returns the offset of the next line that it needs to be processed
+    private static long iterate(PoorManMap aggrMap, MemorySegment data, long offset) {
+        // This method fetches a segment of the file starting from offset and returns after
+        // finishing processing that segment
+        var line = ByteVector.fromMemorySegment(BYTE_SPECIES, data, offset, ByteOrder.nativeOrder());
+
+        // Find the delimiter ';'
+        long semicolons = line.compare(VectorOperators.EQ, ';').toLong();
+
+        // If we cannot find the delimiter in the current segment, that means the key is
+        // longer than the segment, fall back to scalar processing
+        if (semicolons == 0) {
+            long semicolonPos = BYTE_SPECIES.vectorByteSize();
+            for (; data.get(ValueLayout.JAVA_BYTE, offset + semicolonPos) != ';'; semicolonPos++) {
+            }
+            int hash = line.reinterpretAsInts().lane(0);
+            var aggr = aggrMap.indexSimple(offset, semicolonPos, hash);
+            return parseDataPoint(aggr, data, offset + 1 + semicolonPos);
+        }
+
+        long currOffset = offset;
+        while (true) {
+            // Process line by line, currOffset is the offset of the current line in
+            // the file, localOffset is the offset of the current line with respect
+            // to the start of the iteration segment
+            int localOffset = (int) (currOffset - offset);
+
+            // The key length
+            long semicolonPos = Long.numberOfTrailingZeros(semicolons) - localOffset;
+            int hash = data.get(ValueLayout.JAVA_INT_UNALIGNED, currOffset);
+            if (semicolonPos < Integer.BYTES) {
+                hash = (byte) hash;
+            }
+
+            // We inline the searching of the value in the hash map
+            Aggregator aggr;
+            hash = PoorManMap.rehash(hash);
+            int bucketMask = aggrMap.nodes.length - 1;
+            int bucket = hash & bucketMask;
+            for (;; bucket = (bucket + 1) & bucketMask) {
+                PoorManMap.PoorManMapNode node = aggrMap.nodes[bucket];
+                if (node == null) {
+                    aggrMap.size++;
+                    if (aggrMap.size * PoorManMap.R_LOAD_FACTOR > aggrMap.nodes.length) {
+                        aggrMap.grow();
+                        bucketMask = aggrMap.nodes.length - 1;
+                        for (bucket = hash & bucketMask; aggrMap.nodes[bucket] != null; bucket = (bucket + 1) & bucketMask) {
+                        }
+                    }
+                    node = new PoorManMap.PoorManMapNode(data, currOffset, semicolonPos, hash);
+                    aggrMap.nodes[bucket] = node;
+                    aggr = node.aggr;
+                    break;
+                }
+
+                if (node.hash != hash || node.size != semicolonPos) {
+                    continue;
+                }
+
+                // The technique here is to align the key in both vectors so that we can do an
+                // element-wise comparison and check if all characters match
+                var nodeKey = ByteVector.fromArray(BYTE_SPECIES, node.data, BYTE_SPECIES.length() - localOffset);
+                var eqMask = line.compare(VectorOperators.EQ, nodeKey).toLong();
+                long validMask = (-1L >>> -semicolonPos) << localOffset;
+                if ((eqMask & validMask) == validMask) {
+                    aggr = node.aggr;
+                    break;
+                }
+            }
+
+            long nextOffset = parseDataPoint(aggr, data, currOffset + 1 + semicolonPos);
+            semicolons &= (semicolons - 1);
+            if (semicolons == 0) {
+                return nextOffset;
+            }
+            currOffset = nextOffset;
+        }
+    }
+
+    // Process all lines that start in [offset, limit)
+    private static PoorManMap processFile(MemorySegment data, long offset, long limit) {
+        var aggrMap = new PoorManMap(data);
+        // Find the start of a new line
+        if (offset != 0) {
+            offset--;
+            for (; offset < limit;) {
+                if (data.get(ValueLayout.JAVA_BYTE, offset++) == '\n') {
+                    break;
+                }
+            }
+        }
+
+        // If there is no line starting in this segment, just return
+        if (offset == limit) {
+            return aggrMap;
+        }
+
+        // The main loop, optimized for speed
+        while (offset < limit - Math.max(BYTE_SPECIES.vectorByteSize(),
+                Long.BYTES + 1 + KEY_MAX_SIZE)) {
+            offset = iterate(aggrMap, data, offset);
+        }
+
+        // Now we are at the tail, just be simple
+        while (offset < limit) {
+            long semicolonPos = 0;
+            for (; data.get(ValueLayout.JAVA_BYTE, offset + semicolonPos) != ';'; semicolonPos++) {
+            }
+            int hash;
+            if (semicolonPos >= Integer.BYTES) {
+                hash = data.get(ValueLayout.JAVA_INT_UNALIGNED, offset);
+            }
+            else {
+                hash = data.get(ValueLayout.JAVA_BYTE, offset);
+            }
+            var aggr = aggrMap.indexSimple(offset, semicolonPos, hash);
+            offset = parseDataPointTail(aggr, data, offset + 1 + semicolonPos);
+        }
+
+        return aggrMap;
+    }
+
+    public static void main(String[] args) throws InterruptedException, IOException {
+        int processorCnt = Runtime.getRuntime().availableProcessors();
+        var res = HashMap.<String, Aggregator> newHashMap(processorCnt);
+        try (var file = FileChannel.open(Path.of(FILE), StandardOpenOption.READ);
+                var arena = Arena.ofShared()) {
+            var data = file.map(MapMode.READ_ONLY, 0, file.size(), arena);
+            long chunkSize = Math.ceilDiv(data.byteSize(), processorCnt);
+            var threadList = new Thread[processorCnt];
+            var resultList = new PoorManMap[processorCnt];
+            for (int i = 0; i < processorCnt; i++) {
+                int index = i;
+                long offset = i * chunkSize;
+                long limit = Math.min((i + 1) * chunkSize, data.byteSize());
+                var thread = new Thread(() -> {
+                    resultList[index] = processFile(data, offset, limit);
+                });
+                threadList[index] = thread;
+                thread.start();
+            }
+            for (var thread : threadList) {
+                thread.join();
+            }
+
+            // Collect the results
+            for (var aggrMap : resultList) {
+                for (var node : aggrMap.nodes) {
+                    if (node == null) {
+                        continue;
+                    }
+                    byte[] keyData = Arrays.copyOfRange(node.data, BYTE_SPECIES.vectorByteSize(), BYTE_SPECIES.vectorByteSize() + (int) node.size);
+                    String key = new String(keyData, StandardCharsets.UTF_8);
+                    var aggr = node.aggr;
+                    var resAggr = new Aggregator();
+                    var existingAggr = res.putIfAbsent(key, resAggr);
+                    if (existingAggr != null) {
+                        resAggr = existingAggr;
+                    }
+                    resAggr.min = Math.min(resAggr.min, aggr.min);
+                    resAggr.max = Math.max(resAggr.max, aggr.max);
+                    resAggr.sum += aggr.sum;
+                    resAggr.count += aggr.count;
+                }
+            }
+        }
+
+        Map<String, ResultRow> measurements = new TreeMap<>();
+        for (var entry : res.entrySet()) {
+            String key = entry.getKey();
+            var aggr = entry.getValue();
+            measurements.put(key, new ResultRow((double) aggr.min / 10, (double) aggr.sum / (aggr.count * 10), (double) aggr.max / 10));
+        }
+        System.out.println(measurements);
+    }
+}