apanwariisc Goto Github PK

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

custom

Personal Testing

e0253-os-2020

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ftrace-pgfault-latency-tracker

Tracing page fault statistics (e.g., avg. page fault time) using ftrace in Linux

giab_data_indexes

This repository contains data indexes from NIST's Genome in a Bottle project.

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".

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.

multichase

pytorch_memonger

Experimental ground for optimizing memory of pytorch models

sdnet

SDNet

template-ieee-transactions

thapi

tpu

Reference models and tools for Cloud TPUs.

tweet-sentiment-extraction

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.