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A Case For Intra-rack Resource Disaggregation in HPC
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.4291openalex-snapshot
Preparing NERSC users for Cori , a Cray XC40 system with Intel many integrated cores
inferredcites →https://doi.org/10.1002/cpe.4297openalex-snapshot
Evaluating the networking characteristics of the Cray XC‐40 Intel Knights Landing‐based Cori supercomputer at NERSC
inferredcites →https://doi.org/10.1016/j.diin.2017.06.002openalex-snapshot
Linux memory forensics: Dissecting the user space process heap
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/access.2019.2959905openalex-snapshot
A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes
inferredcites →https://doi.org/10.1109/ccem48484.2019.000-5openalex-snapshot
EMF: Disaggregated GPUs in Datacenters for Efficiency, Modularity and Flexibility
inferredcites →https://doi.org/10.1109/ccgrid.2016.32openalex-snapshot
Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study
inferredcites →https://doi.org/10.1109/ccgrid.2019.00067openalex-snapshot
TensorFlow on State-of-the-Art HPC Clusters: A Machine Learning use Case
inferredcites →https://doi.org/10.1109/cem.2015.7237412openalex-snapshot
Transitioning HPC software to exascale heterogeneous computing
inferredcites →https://doi.org/10.1109/cloud.2019.00064openalex-snapshot
QuADD: QUantifying Accelerator Disaggregated Datacenter Efficiency
inferredcites →https://doi.org/10.1109/cluster.2017.22openalex-snapshot
Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures
inferredcites →https://doi.org/10.1109/cluster.2019.8891051openalex-snapshot
Evaluating Burst Buffer Placement in HPC Systems
inferredcites →https://doi.org/10.1109/cse-euc-dcabes.2016.203openalex-snapshot
HPC Accelerators with 3D Memory
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/ecoc.2018.8535214openalex-snapshot
Resource Disaggregation Versus Integrated Servers in Data Centers: Impact of Internal Transmission Capacity Limitation
inferredcites →https://doi.org/10.1109/glocom.2009.5425416openalex-snapshot
Performance Analysis of Communication Networks in Multi-Cluster Systems under Bursty Traffic with Communication Locality
inferredcites →https://doi.org/10.1109/glocom.2016.7842314openalex-snapshot
The Benefits of a Disaggregated Data Centre: A Resource Allocation Approach
inferredcites →https://doi.org/10.1109/hotchips.2015.7477467openalex-snapshot
Knights landing (KNL): 2nd Generation Intel® Xeon Phi processor
inferredcites →https://doi.org/10.1109/hotchips.2019.8875650openalex-snapshot
Zion: Facebook Next- Generation Large Memory Training Platform
inferredcites →https://doi.org/10.1109/hpca.2015.7056044openalex-snapshot
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation
inferredcites →https://doi.org/10.1109/hpec.2014.7040979openalex-snapshot
High level programming of FPGAs for HPC and data centric applications
inferredcites →https://doi.org/10.1109/hpec.2018.8547635openalex-snapshot
Benchmarking Heterogeneous HPC Systems Including Reconfigurable Fabrics: Community Aspirations for Ideal Comparisons
inferredcites →https://doi.org/10.1109/icpp.2011.88openalex-snapshot
GPU Resource Sharing and Virtualization on High Performance Computing Systems
inferredcites →https://doi.org/10.1109/icppw.2017.32openalex-snapshot
SharP: Towards Programming Extreme-Scale Systems with Hierarchical Heterogeneous Memory
inferredcites →https://doi.org/10.1109/ipdps.2000.845980openalex-snapshot
The memory of bandwidth bottleneck and its amelioration by a compiler
inferredcites →https://doi.org/10.1109/isads.2015.17openalex-snapshot
Workload Estimation for Improving Resource Management Decisions in the Cloud
inferredcites →https://doi.org/10.1109/ispass.2017.7975295openalex-snapshot
Evaluating and mitigating bandwidth bottlenecks across the memory hierarchy in GPUs
inferredcites →https://doi.org/10.1109/isvlsi.2019.00028openalex-snapshot
Investigating Fairness in Disaggregated Non-Volatile Memories
inferredcites →https://doi.org/10.1109/jstqe.2019.2960950openalex-snapshot
Silicon Photonic Switch Topologies and Routing Strategies for Disaggregated Data Centers
inferredcites →https://doi.org/10.1109/mc.2019.2954056openalex-snapshot
Accelerators for Artificial Intelligence and High-Performance Computing
inferredcites →https://doi.org/10.1109/mcom.001.1900612openalex-snapshot
Disaggregated Data Centers: Challenges and Trade-offs
inferredcites →https://doi.org/10.1109/mm.2020.2974843openalex-snapshot
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
inferredcites →https://doi.org/10.1109/mm.2021.3061394openalex-snapshot
NVIDIA A100 Tensor Core GPU: Performance and Innovation
inferredcites →https://doi.org/10.1109/nysds.2017.8085040openalex-snapshot
Comparative study of deep learning framework in HPC environments
inferredcites →https://doi.org/10.1109/pdcat.2012.34openalex-snapshot
Accelerating High Performance Computing Applications: Using CPUs, GPUs, Hybrid CPU/GPU, and FPGAs
inferredcites →https://doi.org/10.1109/sbac-pad49847.2020.00017openalex-snapshot
Optically Connected Memory for Disaggregated Data Centers
inferredcites →https://doi.org/10.1109/sbac-pad49847.2020.00034openalex-snapshot
On the Memory Underutilization: Exploring Disaggregated Memory on HPC Systems
inferredcites →https://doi.org/10.1109/sc.2000.10029openalex-snapshot
A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters
inferredcites →https://doi.org/10.1109/sc.2014.18openalex-snapshot
The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications
inferredcites →https://doi.org/10.1109/sc.2016.33openalex-snapshot
Reliable and Efficient Performance Monitoring in Linux
inferredcites →https://doi.org/10.1109/tc.2018.2851565openalex-snapshot
Disaggregated Cloud Memory with Elastic Block Management
inferredcites →https://doi.org/10.1109/tvlsi.2019.2922621openalex-snapshot
Unaligned Burst-Aware Memory Subsystem
inferredcites →https://doi.org/10.1142/s0218488598000094openalex-snapshot
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
inferredcites →https://doi.org/10.1145/2788396openalex-snapshot
A Survey of CPU-GPU Heterogeneous Computing Techniques
inferredcites →https://doi.org/10.1145/2807591.2807666openalex-snapshot
Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility
inferredcites →https://doi.org/10.1145/3095770.3095771openalex-snapshot
Operating and Runtime Systems Challenges for HPC Systems
inferredcites →https://doi.org/10.1145/3183767.3183769openalex-snapshot
Managing Heterogeneous Resources in HPC Systems
inferredcites →https://doi.org/10.1145/3295500.3356145openalex-snapshot
Bandwidth steering in HPC using silicon nanophotonics
inferredcites →https://doi.org/10.1145/3307681.3325401openalex-snapshot
Scheduling Beyond CPUs for HPC
inferredcites →https://doi.org/10.1145/3326285.3329074openalex-snapshot
Who limits the resource efficiency of my datacenter
inferredcites →https://doi.org/10.1186/s13677-021-00238-6openalex-snapshot
DRMaestro: orchestrating disaggregated resources on virtualized data-centers
inferredcites →https://doi.org/10.1364/jocn.10.00a270openalex-snapshot
Optically Disaggregated Data Centers With Minimal Remote Memory Latency: Technologies, Architectures, and Resource Allocation [Invited]
inferredcites →https://doi.org/10.1364/jocn.9.000001openalex-snapshot
Survey of Photonic Switching Architectures and Technologies in Support of Spatially and Spectrally Flexible Optical Networking [Invited]
inferredcites →https://doi.org/10.1364/oe.26.016022openalex-snapshot
Photonic switching in high performance datacenters [Invited]
inferredcites →https://doi.org/10.1364/ofc.2015.w1d.5openalex-snapshot
Facebook’s Data Center Infrastructure: Open Compute, Disaggregated Rack, and Beyond
inferredcites →https://doi.org/10.14529/jsfi140304openalex-snapshot
Heterogeneous parallel computing: from clusters of workstations to hierarchical hybrid platforms
inferredcites →https://doi.org/10.5555/3291168.3291175openalex-snapshot
LegoOS: a disseminated, distributed OS for hardware resource disaggregation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70385openalex-snapshot
Promoting Resource Utilization in HPC via Scheduling
inferred← citeshttps://doi.org/10.1002/cpe.8147openalex-snapshot
Evaluating the potential of disaggregated memory systems for HPC applications
inferred← citeshttps://doi.org/10.1007/978-3-031-32041-5_16openalex-snapshot
Analyzing Resource Utilization in an HPC System: A Case Study of NERSC’s Perlmutter
inferred← citeshttps://doi.org/10.1038/s41566-025-01633-0openalex-snapshot
Three-dimensional photonic integration for ultra-low-energy, high-bandwidth interchip data links
inferred← citeshttps://doi.org/10.1038/s44287-025-00223-0openalex-snapshot
Integrating silicon photonics with complementary metal–oxide–semiconductor technologies
inferred← citeshttps://doi.org/10.1109/access.2024.3412878openalex-snapshot
Inter-Node Message Passing Through Optical Reconfigurable Memory Channel
inferred← citeshttps://doi.org/10.1109/cluster52292.2023.00021openalex-snapshot
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics
inferred← citeshttps://doi.org/10.1109/cluster59578.2024.00033openalex-snapshot
Job Scheduling in High Performance Computing Systems with Disaggregated Memory Resources
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00021openalex-snapshot
Software Resource Disaggregation for HPC with Serverless Computing
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00052openalex-snapshot
NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support
inferred← citeshttps://doi.org/10.1109/jssc.2023.3344072openalex-snapshot
8- λ × 50 Gbps/ λ Heterogeneously Integrated Si-Ph DWDM Transmitter
inferred← citeshttps://doi.org/10.1109/jssc.2024.3511673openalex-snapshot
Energy Efficient Monolithically Integrated 256 Gb/s Optical Transmitter With Autonomous Wavelength Stabilization in 45 nm CMOS SOI
inferred← citeshttps://doi.org/10.1109/jssc.2025.3585584openalex-snapshot
A Monolithically Integrated DWDM Si-Photonics Transceiver for Chiplet Optical I/O
inferred← citeshttps://doi.org/10.1109/jssc.2026.3655295openalex-snapshot
A 56-Gb/s Hybrid Silicon Photonic and 5-nm CMOS 3-D-Integrated Transceiver for Optical Compute I/O
inferred← citeshttps://doi.org/10.1109/mchpc56545.2022.00007openalex-snapshot
Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems
inferred← citeshttps://doi.org/10.1109/pmbs56514.2022.00012openalex-snapshot
A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures
inferred← citeshttps://doi.org/10.1109/resdis56595.2022.00006openalex-snapshot
Methodology for Evaluating the Potential of Disaggregated Memory Systems
inferred← citeshttps://doi.org/10.1109/sbac-pad63648.2024.00022openalex-snapshot
Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing
inferred← citeshttps://doi.org/10.1109/sbac-pad63648.2024.00023openalex-snapshot
Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00201openalex-snapshot
Examining the Viability of Row-Scale Disaggregation for Production Applications
inferred← citeshttps://doi.org/10.1145/3581784.3607108openalex-snapshot
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems
inferred← citeshttps://doi.org/10.1145/3624062.3624175openalex-snapshot
CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach
inferred← citeshttps://doi.org/10.1145/3631882.3631905openalex-snapshot
MC-ELMM: Multi-Chip Endurance-Limited Memory Management
inferred← citeshttps://doi.org/10.1145/3634916openalex-snapshot
Rcmp: Reconstructing RDMA-Based Memory Disaggregation via CXL
inferred← citeshttps://doi.org/10.1145/3708035.3736010openalex-snapshot
Analyzing GPU Utilization in HPC Workloads: Insights from Large-Scale Systems
inferred← citeshttps://doi.org/10.1145/3721145.3734530openalex-snapshot
EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC
inferred← citeshttps://doi.org/10.1145/3721146.3721954openalex-snapshot
RMAI: Rethinking Memory for AI (Inference)
inferred← citeshttps://doi.org/10.1145/3731599.3767524openalex-snapshot
TEGRA - Scaling Up Graph Processing with Disaggregated Computing
inferred← citeshttps://doi.org/10.1145/3767339openalex-snapshot
SimHost: A Lightweight End-to-End Simulation Framework for HPC Network Systems
inferred← citeshttps://doi.org/10.1364/jocn.451760openalex-snapshot
Performance trade-offs in reconfigurable networks for HPC
inferred← citeshttps://doi.org/10.1364/jocn.501427openalex-snapshot
Exploring the benefits of using co-packaged optics in data center and AI supercomputer networks: a simulation-based analysis [Invited]
inferred← citeshttps://doi.org/10.1364/oe.577010openalex-snapshot
Monolithically integrated 4 × 128 Gb/s, 3.07 pJ/bit silicon photonic transceiver for co-packaged optics
inferred← citeshttps://doi.org/10.3389/fhpcp.2025.1520207openalex-snapshot
Energy-aware operation of HPC systems in Germany
inferred← citeshttps://doi.org/10.3390/fi16060217openalex-snapshot
Optimizing Data Parallelism for FM-Based Short-Read Alignment on the Heterogeneous Non-Uniform Memory Access Architectures
inferred← citeshttps://doi.org/10.5821/dissertation-2117-404651openalex-snapshot
Job scheduling for disaggregated memory in high performance computing systems
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