Slice me jsc: :chunk_evenl Mateusz Zych, lvo Kabadshow Julich Supercomputing Centre, Research Centre Julich, Germany (0) How to chunk a sequence? > Different range adaptors dividing a range into subranges available: std: :Views: :chunk(chunk_size) std: :Views: :chunk_by(Predicate) std::Views::SpPlLit(dqelimiter) ve [LS Le LT LS LIALBIC index 3456789140 1 12 chunk size =5 1121s1aslsl7lsls none work across taskSs chunk count = 5 @xe9 昌 xxe9 回回 回回日回 chunk size =5 remainder 回回 chunk count = 5 由remainder 5 quotient chunk size quotient GD chunk by size [0.5][67]

shared among one or more threads Heap: a contiguous region of memory subdivided into chunks Chunk: a range of memory of various sizes allocated to the applicationHow does my code impact memory usage shared among one or more threads Heap: a contiguous region of memory subdivided into chunks Chunk: a range of memory of various sizes allocated to the applicationHow does my code impact memory usage shared among one or more threads Heap: a contiguous region of memory subdivided into chunks Chunk: a range of memory of various sizes allocated to the applicationHow does my code impact memory usage

void UtfUtils::ConvertAsciiWithSse(char8_t const*& pSrc, char32_t*& pDst) noexcept { __m128i chunk, half, qrtr, zero; //- SSE “registers” int32_t mask, incr; //- Zero out the interleave register chunk = _mm_loadu_si128((__m128i const*) pSrc); //- Load a register with 8-bit values mask = _mm_movemask_epi8(chunk); //- Find the octets with high high bit set half = _mm_unpacklo_epi8(chunk, zero); //- Unpack bytes 0-7 into 16-bit words qrtr = _mm_unpacklo_epi16(half, zero); //- Unpack words 0-3 into 32-bit dwords _mm_storeu_si128((__m128i*)

nodes in group. ➢ ReplicaIndex: It will represent the position of chunk with respective to ec input buffers order. In other words, EC Chunk position in full stripe, in the order of 1 to (data + parity) Input File 1MB - chunk1 Ozone Client c1:block1 c1:block1 1MB - chunk2 1MB - chunk3 1MB - chunk4 1MB - chunk5 1MB - chunk6 blockGrpID:1 1MB c4:chunk4 1MB c5:chunk5 1MB c6:chunk6 1MB parity1 parity1 (c4, c5, c6) 1MB parity2 (c4, c5, c6) 1MB c1:chunk1 1MB c2:chunk2 1MB c3:chunk 3 1MB parity1 (c1, c2, c3) 1MB parity2 (c1, c2, c3) Stripe-1 Stripe-2 N1 N2 N3 N4 N5 c1:block1 EC Write:

根据快照元数据信息，转储快照数据块 dataObject。 • 5.调用mds接口，移除curve内部的快照。 • 6.mds调用chunkserver接口，删除内部快照 数据 快照流程： chunk chunk chunk chunkserver meta object data object data object S3 Snap Task etcd mds client 3.获取快照元数据 uint32_t chunk的size segmentSize uint64_t segment的size fileLength uint64_t 卷的大小 time uint64_t 快照创建时间 status enum 快照的创建状态 Etcd中的快照元数据:快照的元数据和数据组织 • fileInfo 快照目的卷的卷名等信息 • chunkMap 快照chunk映射表 MetaObject： MetaObject： • 保存完整的chunk数据，大小为一个 Chunk的大小，即16MB DataObject： • 打快照时读取当前目标卷的所有快照的全 部metaObject • 根据本快照的chunk映射表，判断当前的 快照chunk是否需要转储 增量转储原理：快照在CHUNKSERVER上的数据组织  快照chunk和普通chunk，都是 ChunkServer上的ext4文件系统中

--build-event-log **EXPERIMENTAL** Output file path for Build Event Protocol events --common-chunk Use a separate bundle containing code used across multiple bundles. --configuration (-c) to use for serving HTTPS. --ssl-key SSL key to use for serving HTTPS. --vendor-chunk Angular CLI 17 Use a separate bundle containing only vendor libraries loading... ES5 bundle generation complete. chunk {polyfills} polyfills-es2015.js, polyfills-es2015.js.map (polyfills) 141 kB [initial] [rendered] chunk {runtime} runtime-es2015.js, runtime-es2015.js

convert_yielded(self.fetch_next_chunk()) while True: chunk = yield fetch_future if chunk is None: break self.write(chunk) fetch_future = convert_yielded(self.fetch_next_chunk()) yield fetch_future = self.fetch_next_chunk() while True: chunk = yield fetch_future if chunk is None: break self.write(chunk) fetch_future = self.fetch_next_chunk() yield self.flush() those methods are called, so the values are available during prepare. RequestHandler.data_received(chunk: bytes) → Optional[Awaitable[None]] [source] Implement this method to handle streamed request data

convert_yielded(self.fetch_next_chunk()) while True: chunk = yield fetch_future if chunk is None: break self.write(chunk) fetch_future = convert_yielded(self.fetch_next_chunk()) yield fetch_future = self.fetch_next_chunk() while True: chunk = yield fetch_future if chunk is None: break self.write(chunk) fetch_future = self.fetch_next_chunk() yield self.flush() those methods are called, so the values are available during prepare. RequestHandler.data_received(chunk: bytes) → Optional[Awaitable[None]] [source] Implement this method to handle streamed request data

读取⽂件 Chunk1 Chunk2 Chunk3 Chunk4 Chunk5 Chunk6 Chunk7 Chunk8 … data1 data2 data3 parity1 parity2 B-2-d B-2-d B-2-d B-2-p B-2-p Chunk2 1MB Chunk3 1MB Parity1 1MB Parity2 1MB Chunk4 1MB 1MB Chunk5 1MB Chunk6 1MB Parity1 1MB Parity2 1MB 条带1 条带2 0 Chunk1 1MB 10 数据在线修复 DN5 C-2 DN1 C-2 DN2 C-2 DN3 C-2 DN4 C-2 EC Container Group 客户端 读取⽂件 Chunk1 Chunk2 Chunk3 Chunk4 Chunk4 Chunk5 Chunk6 Chunk7 Chunk8 … data1 data2 data3 parity1 parity2 B-2-d B-2-d B-2-d B-2-p B-2-p Chunk1 1MB Chunk2 1MB Chunk3 1MB Parity1 1MB Parity2 1MB Chunk4 1MB Chunk5 1MB

读取⽂件 Chunk1 Chunk2 Chunk3 Chunk4 Chunk5 Chunk6 Chunk7 Chunk8 … data1 data2 data3 parity1 parity2 B-2-d B-2-d B-2-d B-2-p B-2-p Chunk2 1MB Chunk3 1MB Parity1 1MB Parity2 1MB Chunk4 1MB 1MB Chunk5 1MB Chunk6 1MB Parity1 1MB Parity2 1MB 条带1 条带2 0 Chunk1 1MB 数据读取在线恢复 DN5 C-2 DN1 C-2 DN2 C-2 DN3 C-2 DN4 C-2 EC Container Group 客户端 读取⽂件 Chunk1 Chunk2 Chunk3 Chunk4 Chunk4 Chunk5 Chunk6 Chunk7 Chunk8 … data1 data2 data3 parity1 parity2 B-2-d B-2-d B-2-d B-2-p B-2-p Chunk1 1MB Chunk2 1MB Chunk3 1MB Parity1 1MB Parity2 1MB Chunk4 1MB Chunk5 1MB