rok1

Rockchip ARMv8 Cortex-A76 testing with a Turing Machines RK1 and rockchipdrmfb on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403147-NE-ROK16413140
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Audio Encoding 6 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 18 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 11 Tests
Creator Workloads 7 Tests
Database Test Suite 5 Tests
Encoding 6 Tests
Java Tests 2 Tests
Multi-Core 22 Tests
Programmer / Developer System Benchmarks 18 Tests
Python Tests 8 Tests
Server 6 Tests
Server CPU Tests 7 Tests
Single-Threaded 2 Tests

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Date
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  Test
  Duration
rk1-rok-emmc
February 25
  5 Days, 12 Hours, 20 Minutes
rk1-rok-nvme
March 11
  1 Day, 4 Hours, 9 Minutes
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  3 Days, 8 Hours, 14 Minutes
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rok1 Suite 1.0.0 System Test suite extracted from rok1. pts/build-apache-1.6.1 Time To Compile pts/build-ffmpeg-6.1.0 Time To Compile pts/build-gcc-1.4.0 pts/build-gdb-1.1.0 pts/build-gem5-1.1.0 Time To Compile pts/build-godot-4.0.0 Time To Compile pts/build-imagemagick-1.7.2 Time To Compile pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/build-mesa-1.0.0 pts/build-mplayer-1.5.0 Time To Compile pts/build-nodejs-1.3.0 Time To Compile pts/build-php-1.6.0 Time To Compile pts/build-python-1.0.0 Build Configuration: Default pts/build-python-1.0.0 --enable-optimizations --with-lto Build Configuration: Released Build, PGO + LTO Optimized pts/build2-1.2.0 Time To Compile pts/build-eigen-1.1.0 Time To Compile pts/build-erlang-1.2.0 Time To Compile pts/build-wasmer-1.2.0 Time To Compile pts/lczero-1.7.0 -b blas Backend: BLAS pts/tscp-1.2.2 AI Chess Performance pts/stockfish-1.4.0 Total Time pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/m-queens-1.1.0 Time To Solve pts/n-queens-1.2.1 Elapsed Time pts/leveldb-1.1.0 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/leveldb-1.1.0 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/leveldb-1.1.0 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/leveldb-1.1.0 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill pts/leveldb-1.1.0 --benchmarks=readrandom --num=1000000 Benchmark: Random Read pts/leveldb-1.1.0 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random pts/leveldb-1.1.0 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete pts/leveldb-1.1.0 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/sqlite-2.1.0 1 Threads / Copies: 1 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 100 Test: PUT - Connections: 50 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 100 Test: PUT - Connections: 50 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 100 Test: PUT - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 1000 Test: PUT - Connections: 50 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 50 --clients 1000 Test: PUT - Connections: 50 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 100 Test: PUT - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 100 --clients 1000 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 pts/etcd-1.0.0 put --total=4000000 --val-size=256 --key-size=8 --conns 500 --clients 1000 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 100 Test: RANGE - Connections: 50 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 100 Test: RANGE - Connections: 50 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 100 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 1000 Test: RANGE - Connections: 50 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 50 --clients 1000 Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 100 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 100 --clients 1000 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 pts/etcd-1.0.0 range KEY --total=4000000 --conns 500 --clients 1000 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency pts/couchdb-1.3.0 100 1000 30 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 100 3000 30 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 pts/couchdb-1.3.0 300 1000 30 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 300 3000 30 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 pts/couchdb-1.3.0 500 1000 30 Bulk Size: 500 - Inserts: 1000 - Rounds: 30 pts/couchdb-1.3.0 500 3000 30 Bulk Size: 500 - Inserts: 3000 - Rounds: 30 pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 100 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 500 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 1000 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.1 -r 1000000 -p 2000 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 100 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 500 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Group By Test Time pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Repartition Test Time pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 100 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Group By Test Time pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Repartition Test Time pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 500 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark pts/spark-1.0.1 -r 40000000 -p 100 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark pts/spark-1.0.1 -r 40000000 -p 500 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 1000 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Group By Test Time pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time pts/spark-1.0.1 -r 10000000 -p 2000 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Group By Test Time pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 1000 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time pts/spark-1.0.1 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 20000000 -p 2000 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 40000000 -p 1000 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe pts/spark-1.0.1 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time pts/spark-1.0.1 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark pts/spark-1.0.1 -r 40000000 -p 2000 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Geometric Mean Of All Queries pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q01 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q02 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q03 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q04 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q05 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q06 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q07 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q08 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q09 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q10 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q11 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q12 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q13 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q14 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q15 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q16 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q17 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q18 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q19 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q20 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q21 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q22 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 pts/spark-tpch-1.0.0 -s 100 Scale Factor: 100 pts/stargate-1.1.0 44100 512 Sample Rate: 44100 - Buffer Size: 512 pts/stargate-1.1.0 96000 512 Sample Rate: 96000 - Buffer Size: 512 pts/stargate-1.1.0 192000 512 Sample Rate: 192000 - Buffer Size: 512 pts/stargate-1.1.0 44100 1024 Sample Rate: 44100 - Buffer Size: 1024 pts/stargate-1.1.0 48000 512 Sample Rate: 480000 - Buffer Size: 512 pts/stargate-1.1.0 96000 1024 Sample Rate: 96000 - Buffer Size: 1024 pts/stargate-1.1.0 192000 1024 Sample Rate: 192000 - Buffer Size: 1024 pts/stargate-1.1.0 48000 1024 Sample Rate: 480000 - Buffer Size: 1024 pts/encode-ape-1.4.0 WAV To APE pts/encode-flac-1.8.1 WAV To FLAC pts/encode-mp3-1.7.4 WAV To MP3 pts/encode-opus-1.4.0 WAV To Opus Encode pts/encode-wavpack-1.4.1 WAV To WavPack pts/build-gcc-1.4.0 Time To Compile pts/build-gdb-1.1.0 Time To Compile