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teraheap's Introduction

TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

Description

TeraHeap extends the managed runtime (JVM) to use a second, high-capacity heap over a fast storage device that coexists with the regular heap. TeraHeap provides direct access to objects on the second heap (no S/D). It also reduces GC cost by fencing the garbage collector from scanning the second heap. TeraHeap leverages frameworks’ property of choosing specific objects for off-heap placement and offers frameworks a hint-based interface for moving such objects to the second heap.

Install Prerequisites

Install the following packages:

sudo yum install python3-pip
pip3 install scan-build --user
pip3 install compdb --user

Build

  1. Build allocator.
cd allocator
./build.sh
cd -

Read the README.md file in allocator directory to export the specific environment variables

  1. Build JVM (release mode)
cd jdk8u345
./compile.sh -r
cd -
  1. Build JVM (fastdebug mode)
cd jdk8u345
./compile.sh -d
cd -

Benchmarks

To run benchmarks please clone the repository tera_applications and read the README.md files in each application directory. There are instructions about how to compile and run the different applications.

teraheap's People

Contributors

jackkolokasis avatar giannose avatar

Forkers

imelidonis

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