apanwariisc
I am interested in systems research oriented towards maximizing hardware resource utilization -- particularly around operating systems and memory management.
Indian Institute of ScienceBangalore, India
Pinned Repositories
adaptdl
Resource-adaptive cluster scheduler for deep learning training.
apanwariisc.github.io
Personal Webpage of Anirban Laha
autokeras
AutoML library for deep learning
ck-artifact-evaluation
Collective Knowledge repository to support artifact evaluation and reproducibility initiatives:
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
ftrace-pgfault-latency-tracker
Tracing page fault statistics (e.g., avg. page fault time) using ftrace in Linux
HawkEye
The implementation of HawkEye, our research system: "HawkEye: Efficient Fine-grained OS Support for Huge Pages" from ASPLOS 2019.
Illuminator
This is the implementation of our research system Illuminator that was published in ASPLOS 2018 with the title "Making Huge Pages Actually Useful".
multichase
x86-MMU-Profiler
This is a user-space tool that profiles all running applications under a specified user, and periodically outputs their MMU Overhead i.e., the fraction of CPU Cycles spent in servicing TLB misses. This tool was used to assist our research system HawkEye (published in ASPLOS'19) to achieve fair huge page allocation across multiple applications.
apanwariisc's Repositories
apanwariisc/HawkEye
The implementation of HawkEye, our research system: "HawkEye: Efficient Fine-grained OS Support for Huge Pages" from ASPLOS 2019.
apanwariisc/Illuminator
This is the implementation of our research system Illuminator that was published in ASPLOS 2018 with the title "Making Huge Pages Actually Useful".
apanwariisc/x86-MMU-Profiler
This is a user-space tool that profiles all running applications under a specified user, and periodically outputs their MMU Overhead i.e., the fraction of CPU Cycles spent in servicing TLB misses. This tool was used to assist our research system HawkEye (published in ASPLOS'19) to achieve fair huge page allocation across multiple applications.
apanwariisc/ftrace-pgfault-latency-tracker
Tracing page fault statistics (e.g., avg. page fault time) using ftrace in Linux
apanwariisc/multichase
apanwariisc/adaptdl
Resource-adaptive cluster scheduler for deep learning training.
apanwariisc/apanwariisc.github.io
Personal Webpage of Anirban Laha
apanwariisc/autokeras
AutoML library for deep learning
apanwariisc/ck-artifact-evaluation
Collective Knowledge repository to support artifact evaluation and reproducibility initiatives:
apanwariisc/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
apanwariisc/custom
Personal Testing
apanwariisc/e0253-os-2020
apanwariisc/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
apanwariisc/giab_data_indexes
This repository contains data indexes from NIST's Genome in a Bottle project.
apanwariisc/llvm-project
This is the canonical git mirror of the LLVM subversion repository. The repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
apanwariisc/pytorch_memonger
Experimental ground for optimizing memory of pytorch models
apanwariisc/SDNet
SDNet
apanwariisc/template-ieee-transactions
apanwariisc/THAPI
apanwariisc/tpu
Reference models and tools for Cloud TPUs.
apanwariisc/tweet-sentiment-extraction