multi-topic, publish from gh-pages branch

site/data/cloud-edge/papers/HPDC-2024-digest.yaml

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+venue: HPDC
+year: 2024
+papers:
+- title: Efficient all-to-all Collective Communication Schedules for Direct-connect
+    Topologies
+  authors:
+  - Prithwish Basu
+  - Liangyu Zhao
+  - Jason Fantl
+  - Siddharth Pal
+  - Arvind Krishnamurthy
+  - Joud Khoury
+  reason: "Derives near-optimal all-to-all collective communication schedules for direct-connect HPC topologies, directly improving bandwidth utilization in large-scale distributed systems."
+- title: Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors
+    in the Field
+  authors:
+  - Isaac Boixaderas
+  - Sergi Moré
+  - Javier Bartolome
+  - David Vicente
+  - Petar Radojkovic
+  - Paul M. Carpenter
+  - Eduard Ayguadé
+  reason: "Applies reinforcement learning to dynamically mitigate uncorrected DRAM errors at production HPC scale, improving system reliability without sacrificing performance."
+- title: 'IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement
+    Learning'
+  authors:
+  - Juneseo Chang
+  - Wanju Doh
+  - Yaebin Moon
+  - Eojin Lee
+  - Jung Ho Ahn
+  reason: "Presents a reinforcement learning-driven runtime that automatically places data across heterogeneous memory tiers, reducing access latency in HPC nodes with complex memory hierarchies."
+- title: 'FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as
+    an Example'
+  authors:
+  - Marcin Copik
+  - Alexandru Calotoiu
+  - Pengyu Zhou
+  - Konstantin Taranov
+  - Torsten Hoefler
+  reason: "Reconstructs ZooKeeper as a fully serverless service and distills concrete design lessons for building stateful distributed coordination primitives on FaaS platforms."
+- title: 'ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless
+    Platforms with Shareable GPUs'
+  authors:
+  - Xinning Hui
+  - Yuanchao Xu 0001
+  - Zhishan Guo
+  - Xipeng Shen
+  reason: "Introduces a pipeline-aware scheduler that shares GPUs across serverless DNN workflow stages, substantially cutting end-to-end latency and GPU idle time."
+- title: 'FASOP: Fast yet Accurate Automated Search for Optimal Parallelization of
+    Transformers on Heterogeneous GPU Clusters'
+  authors:
+  - Sunyeol Hwang
+  - Eungyeong Lee
+  - Hongseok Oh 0003
+  - Youngmin Yi
+  reason: "Provides a fast, model-driven search strategy that finds optimal tensor/pipeline/data parallelism configurations for transformer training on heterogeneous GPU clusters."
+- title: Near-Optimal Wafer-Scale Reduce
+  authors:
+  - Piotr Luczynski
+  - Lukas Gianinazzi
+  - Patrick Iff
+  - Leighton Wilson
+  - Daniele De Sensi
+  - Torsten Hoefler
+  reason: "Designs and analyzes near-optimal Reduce collective algorithms tailored to wafer-scale interconnect topology, setting new performance bounds for next-generation HPC hardware."
+- title: 'DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models'
+  authors:
+  - Avinash Maurya
+  - Robert Underwood
+  - M. Mustafa Rafique
+  - Franck Cappello
+  - Bogdan Nicolae
+  reason: "Introduces lazy asynchronous checkpointing that overlaps LLM training with I/O, dramatically reducing checkpoint overhead on large-scale HPC storage systems."
+- title: 'ADTopk: All-Dimension Top-k Compression for High-Performance Data-Parallel
+    DNN Training'
+  authors:
+  - Zhangqiang Ming
+  - Yuchong Hu
+  - Wenxiang Zhou
+  - Xinjue Zheng
+  - Chenxuan Yao
+  - Dan Feng 0001
+  reason: "Proposes an all-dimension top-k gradient sparsification scheme that reduces communication volume in data-parallel distributed training while preserving convergence quality."
+- title: Accelerating Function-Centric Applications by Discovering, Distributing,
+    and Retaining Reusable Context in Workflow Systems
+  authors:
+  - Thanh Son Phung
+  - Colin Thomas
+  - Logan T. Ward
+  - Kyle Chard
+  - Douglas Thain
+  reason: "Introduces context reuse across scientific workflow tasks, allowing distributed workflow systems to cache and share intermediate computation artifacts and significantly reduce redundant work."
+- title: 'CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras
+    CS-2'
+  authors:
+  - Shihui Song
+  - Yafan Huang
+  - Peng Jiang 0004
+  - Xiaodong Yu 0001
+  - Weijian Zheng
+  - Sheng Di
+  - Qinglei Cao
+  - Yunhe Feng
+  - Zhen Xie
+  - Franck Cappello
+  reason: "Ports and scales error-bounded lossy compression to the Cerebras CS-2 wafer-scale engine, enabling significant data reduction for HPC scientific workloads on novel accelerator hardware."
+- title: 'EvoStore: Towards Scalable Storage of Evolving Learning Models'
+  authors:
+  - Robert Underwood
+  - Meghana Madhyastha
+  - Randal C. Burns
+  - Bogdan Nicolae
+  reason: "Designs a storage system that efficiently manages the versioned, incrementally evolving checkpoints produced during large-scale distributed model training, reducing storage overhead and retrieval time."