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October 23 2023
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extra tests Suite 1.0.0 System Test suite extracted from extra tests. pts/brl-cad-1.5.0 VGR Performance Metric pts/tidb-1.0.3 oltp_update_non_index 128 Test: oltp_update_non_index - Threads: 128 pts/tidb-1.0.3 oltp_read_write 32 Test: oltp_read_write - Threads: 32 pts/tidb-1.0.3 oltp_update_non_index 32 Test: oltp_update_non_index - Threads: 32 pts/tidb-1.0.3 oltp_update_non_index 64 Test: oltp_update_non_index - Threads: 64 pts/tidb-1.0.3 oltp_update_non_index 1 Test: oltp_update_non_index - Threads: 1 pts/tidb-1.0.3 oltp_read_write 256 Test: oltp_read_write - Threads: 256 pts/tidb-1.0.3 oltp_point_select 128 Test: oltp_point_select - Threads: 128 pts/tidb-1.0.3 oltp_point_select 256 Test: oltp_point_select - Threads: 256 pts/tidb-1.0.3 oltp_update_non_index 16 Test: oltp_update_non_index - Threads: 16 pts/tidb-1.0.3 oltp_point_select 1 Test: oltp_point_select - Threads: 1 pts/tidb-1.0.3 oltp_read_write 16 Test: oltp_read_write - Threads: 16 pts/blender-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/tidb-1.0.3 oltp_point_select 32 Test: oltp_point_select - Threads: 32 pts/tidb-1.0.3 oltp_read_write 1 Test: oltp_read_write - Threads: 1 pts/tidb-1.0.3 oltp_read_write 128 Test: oltp_read_write - Threads: 128 pts/tidb-1.0.3 oltp_point_select 64 Test: oltp_point_select - Threads: 64 pts/tidb-1.0.3 oltp_point_select 16 Test: oltp_point_select - Threads: 16 pts/tidb-1.0.3 oltp_read_write 64 Test: oltp_read_write - Threads: 64 pts/blender-3.6.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/cassandra-1.2.0 WRITE Test: Writes pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario sync Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.5.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario sync Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream pts/aom-av1-3.7.0 --cpu-used=4 Bosphorus_3840x2160.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K pts/blender-3.6.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/dragonflydb-1.1.0 -c 50 --ratio=1:100 Clients Per Thread: 50 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 50 --ratio=1:10 Clients Per Thread: 50 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 20 --ratio=1:10 Clients Per Thread: 20 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 20 --ratio=1:100 Clients Per Thread: 20 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 10 --ratio=1:10 Clients Per Thread: 10 - Set To Get Ratio: 1:10 pts/dragonflydb-1.1.0 -c 10 --ratio=1:100 Clients Per Thread: 10 - Set To Get Ratio: 1:100 pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/specfem3d-1.0.0 layered_halfspace Model: Layered Halfspace pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/specfem3d-1.0.0 waterlayered_halfspace Model: Water-layered Halfspace pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/aom-av1-3.7.0 --cpu-used=0 --limit=20 Bosphorus_3840x2160.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K pts/hadoop-1.0.0 -op rename -threads 500 -files 1000000 Operation: Rename - Threads: 500 - Files: 1000000 pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario sync Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/deepsparse-1.5.2 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/deepsparse-1.5.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/dragonflydb-1.1.0 -c 60 --ratio=1:100 Clients Per Thread: 60 - Set To Get Ratio: 1:100 pts/dragonflydb-1.1.0 -c 60 --ratio=1:10 Clients Per Thread: 60 - Set To Get Ratio: 1:10 pts/hadoop-1.0.0 -op rename -threads 100 -files 1000000 Operation: Rename - Threads: 100 - Files: 1000000 pts/deepsparse-1.5.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --input_shapes='[1,128]' --scenario sync Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream pts/hadoop-1.0.0 -op rename -threads 50 -files 1000000 Operation: Rename - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 500 -files 1000000 Operation: Delete - Threads: 500 - Files: 1000000 pts/deepsparse-1.5.2 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream pts/hadoop-1.0.0 -op rename -threads 20 -files 1000000 Operation: Rename - Threads: 20 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 100 -files 1000000 Operation: Delete - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 50 -files 1000000 Operation: Delete - Threads: 50 - Files: 1000000 pts/deepsparse-1.5.2 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream pts/hadoop-1.0.0 -op delete -threads 20 -files 1000000 Operation: Delete - Threads: 20 - Files: 1000000 pts/deepsparse-1.5.2 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/aom-av1-3.7.0 --cpu-used=6 Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K pts/deepsparse-1.5.2 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/hadoop-1.0.0 -op open -threads 500 -files 1000000 Operation: Open - Threads: 500 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 500 -files 1000000 Operation: File Status - Threads: 500 - Files: 1000000 pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario sync Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/hadoop-1.0.0 -op open -threads 50 -files 1000000 Operation: Open - Threads: 50 - Files: 1000000 pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario sync Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream pts/aom-av1-3.7.0 --cpu-used=4 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p pts/hadoop-1.0.0 -op open -threads 100 -files 1000000 Operation: Open - Threads: 100 - Files: 1000000 pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 1000000 Operation: File Status - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 1000000 Operation: File Status - Threads: 50 - Files: 1000000 pts/specfem3d-1.0.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/hadoop-1.0.0 -op fileStatus -threads 20 -files 1000000 Operation: File Status - Threads: 20 - Files: 1000000 pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/hadoop-1.0.0 -op open -threads 20 -files 1000000 Operation: Open - Threads: 20 - Files: 1000000 pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/stress-ng-1.11.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.11.0 --clone -1 --no-rand-seed Test: Cloning pts/stress-ng-1.11.0 --mmap -1 --no-rand-seed Test: MMAP pts/stress-ng-1.11.0 --malloc -1 --no-rand-seed Test: Malloc pts/stress-ng-1.11.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.11.0 --zlib -1 --no-rand-seed Test: Zlib pts/stress-ng-1.11.0 --cache -1 --no-rand-seed Test: CPU Cache pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 512 Threads: 64 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.11.0 --schedmix -1 Test: Mixed Scheduler pts/stress-ng-1.11.0 --futex -1 --no-rand-seed Test: Futex pts/stress-ng-1.11.0 --pthread -1 --no-rand-seed Test: Pthread pts/stress-ng-1.11.0 --switch -1 --no-rand-seed Test: Context Switching pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 512 Threads: 32 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.11.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/stress-ng-1.11.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math pts/stress-ng-1.11.0 --sem -1 --no-rand-seed Test: Semaphores pts/stress-ng-1.11.0 --poll -1 --no-rand-seed Test: Poll pts/stress-ng-1.11.0 --pipe -1 --no-rand-seed Test: Pipe pts/stress-ng-1.11.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.11.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/stress-ng-1.11.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/stress-ng-1.11.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.11.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/stress-ng-1.11.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/stress-ng-1.11.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/stress-ng-1.11.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.11.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.11.0 --funccall -1 --no-rand-seed Test: Function Call pts/stress-ng-1.11.0 --numa -1 --no-rand-seed Test: NUMA pts/kripke-1.2.0 pts/stress-ng-1.11.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/stress-ng-1.11.0 --fp -1 --no-rand-seed Test: Floating Point pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.11.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/stress-ng-1.11.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/stress-ng-1.11.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/stress-ng-1.11.0 --vnni -1 Test: AVX-512 VNNI pts/stress-ng-1.11.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.11.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/stress-ng-1.11.0 --fork -1 --no-rand-seed Test: Forking pts/stress-ng-1.11.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.11.0 --mutex -1 --no-rand-seed Test: Mutex pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 32 Threads: 32 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 57 Threads: 4 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 57 Threads: 2 - Buffer Length: 256 - Filter Length: 57 pts/remhos-1.0.0 -m ./data/inline-quad.mesh -p 14 -rs 2 -rp 1 -dt 0.0005 -tf 0.6 -ho 1 -lo 2 -fct 3 Test: Sample Remap Example pts/hadoop-1.0.0 -op create -threads 500 -files 1000000 Operation: Create - Threads: 500 - Files: 1000000 pts/specfem3d-1.0.0 tomographic_model Model: Tomographic Model pts/specfem3d-1.0.0 Mount_StHelens Model: Mount St. Helens pts/hadoop-1.0.0 -op create -threads 100 -files 1000000 Operation: Create - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 50 -files 1000000 Operation: Create - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 20 -files 1000000 Operation: Create - Threads: 20 - Files: 1000000 pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/aom-av1-3.7.0 --cpu-used=0 --limit=20 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=6 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p pts/hadoop-1.0.0 -op rename -threads 500 -files 100000 Operation: Rename - Threads: 500 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 500 -files 100000 Operation: Delete - Threads: 500 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 100 -files 100000 Operation: Rename - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 50 -files 100000 Operation: Rename - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 20 -files 100000 Operation: Rename - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 100 -files 100000 Operation: Delete - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 50 -files 100000 Operation: Delete - Threads: 50 - Files: 100000 pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/hadoop-1.0.0 -op open -threads 500 -files 100000 Operation: Open - Threads: 500 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 20 -files 100000 Operation: Delete - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 500 -files 100000 Operation: File Status - Threads: 500 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 100 -files 100000 Operation: Open - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 100000 Operation: File Status - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 50 -files 100000 Operation: Open - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 100000 Operation: File Status - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 20 -files 100000 Operation: Open - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 20 -files 100000 Operation: File Status - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 500 -files 100000 Operation: Create - Threads: 500 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 20 -files 100000 Operation: Create - Threads: 20 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 100 -files 100000 Operation: Create - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 50 -files 100000 Operation: Create - Threads: 50 - Files: 100000 pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_3840x2160.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=11 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=6 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p pts/aom-av1-3.7.0 --cpu-used=10 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=8 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/aom-av1-3.7.0 --cpu-used=9 --rt Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/stress-ng-1.11.0 --io-uring -1 --no-rand-seed Test: IO_uring