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Massively-Parallel Lossless Data Decompression

https://doi.org/10.1109/icpp.2016.35

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-48096-0_44openalex-snapshot

Fast Parallel Suffix Array on the GPU

inferredcites →https://doi.org/10.1016/j.future.2013.06.022openalex-snapshot

Optimizing LZSS compression on GPGPUs

inferredcites →https://doi.org/10.1016/j.tcs.2013.10.009openalex-snapshot

Parallel algorithms for Burrows–Wheeler compression and decompression

inferredcites →https://doi.org/10.1109/cluster.2011.52openalex-snapshot

CULZSS: LZSS Lossless Data Compression on CUDA

inferredcites →https://doi.org/10.1109/dcc.1991.213344openalex-snapshot

An extremely fast Ziv-Lempel data compression algorithm

inferredcites →https://doi.org/10.1109/icpp.2016.35openalex-snapshot

Massively-Parallel Lossless Data Decompression

inferredcites →https://doi.org/10.1109/inpar.2012.6339599openalex-snapshot

Parallel lossless data compression on the GPU

inferredcites →https://doi.org/10.1109/jrproc.1952.273898openalex-snapshot

A Method for the Construction of Minimum-Redundancy Codes

inferredcites →https://doi.org/10.1109/mc.1984.1659158openalex-snapshot

A Technique for High-Performance Data Compression

inferredcites →https://doi.org/10.1109/spire.2000.878174openalex-snapshot

Speeding up parallel decoding of LZ compressed text on the PRAM EREW

inferredcites →https://doi.org/10.1109/tit.1977.1055714openalex-snapshot

A universal algorithm for sequential data compression

inferredcites →https://doi.org/10.1109/tit.1978.1055934openalex-snapshot

Compression of individual sequences via variable-rate coding

inferredcites →https://doi.org/10.1145/2442516.2442536openalex-snapshot

Parallel suffix array and least common prefix for the GPU

inferredcites →https://doi.org/10.1145/2664666.2664670openalex-snapshot

Gzip on a chip

inferredcites →https://doi.org/10.1147/rd.203.0198openalex-snapshot

Generalized Kraft Inequality and Arithmetic Coding

inferredcites →https://doi.org/10.14778/1920841.1920927openalex-snapshot

Database compression on graphics processors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Adaptive loss‐less data compression method optimized for GPU decompression

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Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression

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An Advancement in Huffman Coding With a Potential for Parallel Decoding

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GPU implementations of deflate encoding and decoding

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Using the Discrete Wavelet Transform for Lossy On‐the‐Fly Compression of GPU Fluid Simulations

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L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training

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Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices

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An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic

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Energy-efficient canonical Huffman decoders on many-core processor arrays and FPGAs

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An encryption based on DNA and AES algorithms for hiding a compressed text in colored Image

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High-Throughput FPGA-Based Hardware Accelerators for Deflate Compression and Decompression Using High-Level Synthesis

inferred← citeshttps://doi.org/10.1109/asap.2019.00017openalex-snapshot

Refine and Recycle: A Method to Increase Decompression Parallelism

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Towards Improving Data Transfer Efficiency for Accelerators Using Hardware Compression

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GPU-Based Decompression for the 842 Algorithm

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Design and Evaluation of an FPGA-based Hardware Accelerator for Deflate Data Decompression

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Work-in-Progress: A High-Bandwidth Snappy Decompressor in Reconfigurable Logic

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Docker Container Deployment in Fog Computing Infrastructures

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A Fine-Grained Parallel Snappy Decompressor for FPGAs Using a Relaxed Execution Model

inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685589openalex-snapshot

Direct Analytics of Generalized Deduplication Compressed IoT Data

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SASD: A Self-Adaptive Stateful Decompression Architecture

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Accelerating JPEG Decompression on GPUs

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Compression Acceleration Using GPGPU

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Reviving In-Storage Hardware Compression on ZNS SSDs through Host-SSD Collaboration

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Hardware acceleration of database analytics

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Two-Level Data Compression using Machine Learning in Time Series Database

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Improved Efficiency Adaptive Arithmetic Coding for GPU with Lower Shared Memory Usage

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Compression And Decompression Of Files Without Loss Of Quality

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Extended Base-Delta Compression Technique for On-chip Data Transfer

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Parallel Decompression of Gzip-Compressed Files and Random Access to DNA Sequences

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Modified Huffman based compression methodology for Deep Neural Network Implementation on Resource Constrained Mobile Platforms

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GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics

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Enabling Efficient Cloud-Based Data Collection System for Smart Home IoT Data Using Data Binning and Lossless Compression

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A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks

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Energy Efficiency Enhancement of SCM-Based Systems: Write-Friendly Coding

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The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms

inferred← citeshttps://doi.org/10.1145/3225058.3225076openalex-snapshot

Massively Parallel Huffman Decoding on GPUs

inferred← citeshttps://doi.org/10.1145/3229710.3229715openalex-snapshot

Run-Length Base-Delta Encoding for High-Speed Compression

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Massively Parallel ANS Decoding on GPUs

inferred← citeshttps://doi.org/10.1145/3404397.3404429openalex-snapshot

Huffman Coding with Gap Arrays for GPU Acceleration

inferred← citeshttps://doi.org/10.1145/3579371.3589077openalex-snapshot

SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage

inferred← citeshttps://doi.org/10.1145/3588195.3592992openalex-snapshot

Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching

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Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability

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Massively Parallel Inverse Block-sorting Transforms for bzip2 Decompression on GPUs

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Parallelising Stream-Based Lossless Data Compression on GPUs and CPUs

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L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression

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Using DNA Algorithm and Steganography to Secure a Compressed Text

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Accelerating JPEG Decompression on GPUs

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