pipeline

问题 On MIPS architecture with pipelining and forwarding: add $s0, $t1, $t2 sw $s0, 0($sp) The add instruction will have the result ready at step 3 (execute operation) however I presume that the sw instruction want the result at step 2 (Instruction decode & register read). There is a solved exercise in the book Computer Organization and Design by David A. Patterson: Find the hazards in the following code segment and reorder the instructions to avoid any pipeline stalls : lw $t1, 0($t0) lw $t2, 4(

问题 I am working on a pipeline with 6 stages: F D I X0 X1 W. I am asked how many instructions need to be killed when a branch miss-predict happens. I have come up with 4. I think this because the branch resolution happens in X1 and we will need to kill all the instructions that came after the branch. In the pipeline diagram, it looks like it would require killing 4 instructions that are in the process of flowing through the pipeline. Is that correct? I am also asked how many need to be killed if

问题 The Cortex-A57 Optimization Guide states that most integer instructions operating on 128-bit vector data can be dual-issued (Page 24, integer basic F0/F1, logical F0/F1, execution throughput 2). However with our internal (synthetic) benchmarks, throughput seems to be limited to exactly 1 128-bit neon integer instruction, even when there is plenty of instruction parallelism available (the benchmark was written with the intention to test whether 128-bit neon instructions can be dual-issued, so

问题 Given a pipeline something like "A|B|C|D|E", I want to make step C conditional on the result of step B. Something like this: A | B | if [ $? -ne 0 ]; then C; else cat; fi | D | E But this doesn't seem to work; C is never executed no matter what the result of B. I'm looking for a better solution. I understand that each step of a pipeline runs in its own subshell. So I can't pass an environment variable back to the pipeline. But this pipeline is in a Gnu Parallel environment where many such

问题 I'm building a pipeline with snakemake and using conda and singularity environments to ensure reproducibility. I run into an error where the text on my plots is replaced by rectangles After experimenting with the pipeline on Linux and Mac systems and disabling the singularity container, it appears the issue stems from a missing font library as the text is drawn normally when I only run the pipeline using only conda ( --use-conda ) on my Mac. The singularity container is built from this

问题 I'm building a pipeline with snakemake and using conda and singularity environments to ensure reproducibility. I run into an error where the text on my plots is replaced by rectangles After experimenting with the pipeline on Linux and Mac systems and disabling the singularity container, it appears the issue stems from a missing font library as the text is drawn normally when I only run the pipeline using only conda ( --use-conda ) on my Mac. The singularity container is built from this

问题 I have a highly unbalanced dataset (99.5:0.5). I would like to perform hyperparameter tuning on a Random Forest model using sklearn 's RandomizedSearchCV . I would like each of the training folds to be oversampled using SMOTE, and then each of the tests to be evaluated on the final fold, keeping the original distribution without any oversampling. Since these test folds are highly unbalanced, I would like the tests to be evaluated using the F1 Score. I have tried the following: from sklearn

问题 When running an Azure Powershell task in an Azure DevOps Release Pipeline with system.debug=true, you will get an output similar to this: # anonymized ... 2019-09-05T12:19:41.8983585Z ##[debug]INPUT_CONNECTEDSERVICENAMEARM: '7dd40b2a-1c37-4c0a-803e-9b0044a8b54e' 2019-09-05T12:19:41.9156487Z ##[debug]ENDPOINT_URL_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: 'https://management.azure.com/' 2019-09-05T12:19:41.9188051Z ##[debug]ENDPOINT_AUTH_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: '********' 2019-09

问题 When running an Azure Powershell task in an Azure DevOps Release Pipeline with system.debug=true, you will get an output similar to this: # anonymized ... 2019-09-05T12:19:41.8983585Z ##[debug]INPUT_CONNECTEDSERVICENAMEARM: '7dd40b2a-1c37-4c0a-803e-9b0044a8b54e' 2019-09-05T12:19:41.9156487Z ##[debug]ENDPOINT_URL_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: 'https://management.azure.com/' 2019-09-05T12:19:41.9188051Z ##[debug]ENDPOINT_AUTH_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: '********' 2019-09

问题 When running an Azure Powershell task in an Azure DevOps Release Pipeline with system.debug=true, you will get an output similar to this: # anonymized ... 2019-09-05T12:19:41.8983585Z ##[debug]INPUT_CONNECTEDSERVICENAMEARM: '7dd40b2a-1c37-4c0a-803e-9b0044a8b54e' 2019-09-05T12:19:41.9156487Z ##[debug]ENDPOINT_URL_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: 'https://management.azure.com/' 2019-09-05T12:19:41.9188051Z ##[debug]ENDPOINT_AUTH_7dd40b2a-1c37-4c0a-803e-9b0044a8b54e: '********' 2019-09