New Tools, Programming Models, and System Support for Processing-in-Memory Architectures | Paper Citation Record

Observation c41ec0cf-8274-4def-b546-63426b5ecb5b · outbound

This paper cites Understanding and Improving the Latency of DRAM-Based Memory Systems,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Understanding and Improving the Latency of DRAM-Based Memory Systems,

Reference 1

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Observation 32536225-8d8f-46f5-b487-24814daa3d65 · outbound

This paper cites A Signed Binary mMultiplication Technique,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Signed Binary mMultiplication Technique,

Reference 2

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Observation 76a73807-c8e2-481b-a5c8-6b6f46ceed24 · outbound

This paper cites Multiplication of Many-Digital Numbers by Automatic Computers,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Multiplication of Many-Digital Numbers by Automatic Computers,

Reference 3

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Observation 6e0f81d4-024c-4ea1-9fed-fdc164f2cadb · outbound

This paper cites Phoenix Rebirth: Scalable MapReduce on a Large-Scale Shared-Memory System,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Phoenix Rebirth: Scalable MapReduce on a Large-Scale Shared-Memory System,

Reference 4

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Observation 3238a8a0-7e18-463f-bb3d-68b79738ea0e · outbound

This paper cites SPEC CPU2017 Benchmarks,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures SPEC CPU2017 Benchmarks,

Reference 5

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This paper cites Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System,

Reference 6

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Observation ade6d82d-4a1a-4761-a082-27ad54d75451 · outbound

This paper cites Memory Scaling: A Systems Architecture Perspective,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Memory Scaling: A Systems Architecture Perspective,

Reference 7

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Observation 207c3d7f-d988-487b-90ab-70fa60bf28dd · outbound

This paper cites Research Problems and Opportunities in Memory Systems,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Research Problems and Opportunities in Memory Systems,

Reference 8

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Observation a120547e-962f-4ebb-9e35-dfe5b9c04f19 · outbound

This paper cites The Tail at Scale,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures The Tail at Scale,

Reference 9

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Observation f7846e13-378e-423f-ad80-c1fef9643539 · outbound

This paper cites Profiling a Warehouse-Scale Computer,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Profiling a Warehouse-Scale Computer,

Reference 10

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Observation 84190047-c879-4da3-8fbb-80fa3000165f · outbound

This paper cites Clearing the Clouds: A Study of Emerging Scale-Out Workloads on Modern Hardware,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Clearing the Clouds: A Study of Emerging Scale-Out Workloads on Modern Hardware,

Reference 11

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Observation 7129d64f-c813-4c38-b8e4-f4f06806a554 · outbound

This paper cites BigDataBench: A Big Data Bench- mark Suite from Internet Services,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures BigDataBench: A Big Data Bench- mark Suite from Internet Services,

Reference 12

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Observation 9064e286-3869-4c2f-b97b-90bc626948fa · outbound

This paper cites Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks,

Reference 13

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Observation 35fdca43-ea2e-401f-b423-8a524695a6fc · outbound

This paper cites Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks,

Reference 14

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Observation f23c1ddf-e495-4ada-a3fe-c2c33b645ebf · outbound

This paper cites Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

Reference 15

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Observation 60876764-e267-4cd0-80de-76456ee72593 · outbound

This paper cites En- abling Practical Processing in and Near Memory for Data-Intensive Computing,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures En- abling Practical Processing in and Near Memory for Data-Intensive Computing,

Reference 16

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Observation 7b0cf148-a05f-4370-80c4-0f1ba49a9dc4 · outbound

This paper cites Pro- cessing Data Where It Makes Sense: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Pro- cessing Data Where It Makes Sense: Enabling In-Memory Computation,

Reference 17

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Observation 04544bdf-fe71-406c-8679-b07e951aec76 · outbound

This paper cites Intelligent Architectures for Intelligent Machines,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Intelligent Architectures for Intelligent Machines,

Reference 18

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Observation 7c49a28f-8017-4a2d-8b0e-12afb2bfeae6 · outbound

This paper cites Processing-in-Memory: A Workload-Driven Perspective,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing-in-Memory: A Workload-Driven Perspective,

Reference 19

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Observation 77956a76-b1e4-4a42-ae0d-b2904ecf22f6 · outbound

This paper cites Accelerating Genome Analysis: A Primer on an Ongoing Journey,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Accelerating Genome Analysis: A Primer on an Ongoing Journey,

Reference 20

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Observation a7e70934-8116-40be-9ec4-390f470b63a4 · outbound

This paper cites GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis,

Reference 21

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Observation 4919a74e-f524-441f-bfea-bee32b0d8a6b · outbound

This paper cites EDEN: Enabling Energy-Efficient, High- Performance Deep Neural Network Inference Using Approximate DRAM,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures EDEN: Enabling Energy-Efficient, High- Performance Deep Neural Network Inference Using Approximate DRAM,

Reference 22

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Observation 9d93c2ec-201c-4cb7-b858-b012590834bb · outbound

This paper cites SMASH: Co-Designing Software Compression and Hardware- Accelerated Indexing for Efficient Sparse Matrix Operations,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures SMASH: Co-Designing Software Compression and Hardware- Accelerated Indexing for Efficient Sparse Matrix Operations,

Reference 23

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Observation 618b2ec4-f484-4f5e-9882-ba620f41deea · outbound

This paper cites DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks,

Reference 24

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Observation efac6bb4-1468-4727-b5f2-e8047d6b4dca · outbound

This paper cites DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:30:00.226663Z

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Observation 8bf1c620-6e84-4b32-9f5e-ece8a0b3e63d · outbound

This paper cites DAMOV: A New Methodology and Benchmark Suite for Evalu- ating Data Movement Bottlenecks,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures DAMOV: A New Methodology and Benchmark Suite for Evalu- ating Data Movement Bottlenecks,

Reference 26

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Observation abdacf17-11fc-4560-b267-3e6e3be3ee01 · outbound

This paper cites Processing Data Where It Makes Sense: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense: Enabling In-Memory Computation,

Reference 27

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Observation 4aad9e52-f7b6-4edb-8c0e-0bf14d3b62e8 · outbound

This paper cites Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,

Reference 28

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Observation 008f1ab9-e391-43e3-94f2-c702e3cd37df · outbound

This paper cites Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,

Reference 29

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Observation f1a1a9b7-d71a-4afb-91bf-3dec34ec09a7 · outbound

This paper cites Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,

Reference 30

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Observation 3c80cfde-4715-4ff5-827b-602e448cf0fb · outbound

This paper cites Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,

Reference 31

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Observation f44b4d68-e385-4242-a8cc-c06da60aebcb · outbound

This paper cites Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Processing Data Where It Makes Sense in Modern Computing Systems: Enabling In-Memory Computation,

Reference 32

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Observation b54ffbe5-49e8-4f5f-858e-9b576150c3c5 · outbound

This paper cites Evaluating the Memory System Behavior of Smartphone Workloads,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Evaluating the Memory System Behavior of Smartphone Workloads,

Reference 33

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Observation 5987596f-7ef2-4244-b698-435f28365309 · outbound

This paper cites Memory Hierarchy for Web Search,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Memory Hierarchy for Web Search,

Reference 34

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Observation a93bf4e3-7742-4257-887a-fdb35ccea581 · outbound

This paper cites Understanding Big Data Analytics Workloads on Modern Processors,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Understanding Big Data Analytics Workloads on Modern Processors,

Reference 35

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Observation 5011f3f0-4f93-492d-bfb4-4f3224f94a5d · outbound

This paper cites Optimizing database architecture for the new bottleneck: Memory access,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Optimizing database architecture for the new bottleneck: Memory access,

Reference 36

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Observation 16362fad-e3ff-4a58-802e-7f0b8512e13c · outbound

This paper cites AI and Memory Wall,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures AI and Memory Wall,

Reference 37

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Observation 6ad9c0c1-d106-43cd-80d7-830d924543ee · outbound

This paper cites Quantifying Per- formance Bottlenecks of Stencil Computations Using the Execution-Cache-Memory Model,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Quantifying Per- formance Bottlenecks of Stencil Computations Using the Execution-Cache-Memory Model,

Reference 38

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Observation 81135c82-dcf2-4092-870e-5f7eb1d97a8f · outbound

This paper cites Memory System Characterization of Deep Learning Workloads,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Memory System Characterization of Deep Learning Workloads,

Reference 39

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Observation 6f43e637-047b-480c-a3cf-02dc9a104c40 · outbound

This paper cites The Declining Effectiveness of Dynamic Caching for General-Purpose Microprocessors,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures The Declining Effectiveness of Dynamic Caching for General-Purpose Microprocessors,

Reference 40

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Observation 24ed4f5e-e7a4-4edc-9301-840f4726c65e · outbound

This paper cites The Ar- chitectural Implications of Facebook’s DNN-based Personalized Recommendation,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures The Ar- chitectural Implications of Facebook’s DNN-based Personalized Recommendation,

Reference 41

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Observation 6b757561-d62e-4bdb-8b9e-55944b7c0628 · outbound

This paper cites SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale,

Reference 42

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Observation 4c851807-8b8f-4de9-93cc-5e4672d45165 · outbound

This paper cites Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training: Indus- trial Product,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training: Indus- trial Product,

Reference 43

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Observation 0346ed8c-dbd7-4de6-8585-97cb7c00865b · outbound

This paper cites {INSIDER}: Designing{In-Storage} Com- puting System for Emerging{High-Performance} Drive,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures {INSIDER}: Designing{In-Storage} Com- puting System for Emerging{High-Performance} Drive,

Reference 44

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Observation c1f4ed8a-ad3e-401b-80c9-c46b90c18776 · outbound

This paper cites The Architectural Implications of Cloud Microser- vices,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures The Architectural Implications of Cloud Microser- vices,

Reference 45

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Observation 7fd3a6c6-fdce-42ea-9afa-07df9da53676 · outbound

This paper cites Accelerometer: Understanding Accelera- tion Opportunities for Data Center Overheads at Hyperscale,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Accelerometer: Understanding Accelera- tion Opportunities for Data Center Overheads at Hyperscale,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:59.114430Z

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Observation fcc40678-3f5f-4cc5-8f6e-a691ffd3601a · outbound

This paper cites RAMBDA: RDMA-Driven Acceleration Framework for Memory-Intensive 𝜇s-Scale Datacenter Applications,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures RAMBDA: RDMA-Driven Acceleration Framework for Memory-Intensive 𝜇s-Scale Datacenter Applications,

Reference 47

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Observation f57e3857-26a4-4a44-ac8a-6e0a89b88dd2 · outbound

This paper cites Amdahl’s Law for Tail Latency,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Amdahl’s Law for Tail Latency,

Reference 48

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Observation 92406ea7-d233-41de-b64e-5c475f4d6114 · outbound

This paper cites Cross-Stack Workload Characterization of Deep Recommendation Systems,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Cross-Stack Workload Characterization of Deep Recommendation Systems,

Reference 49

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Observation 9f9e22c3-d5e1-4d49-9751-a64d1b039fc6 · outbound

This paper cites vbench: Benchmarking Video Transcoding in the Cloud,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures vbench: Benchmarking Video Transcoding in the Cloud,

Reference 50

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Observation 21ce411f-bde7-4750-93ef-b9d2d84874cb · outbound

This paper cites Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:59.130278Z

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Observation caa6e74a-0de2-4870-b610-c1a612cd7284 · outbound

This paper cites Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers,

Reference 52

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Observation 6115434a-e262-47a5-9737-5dda577ee32c · outbound

This paper cites Reflections on the Memory Wall,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Reflections on the Memory Wall,

Reference 53

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Observation 113c3c38-7aca-4305-a26b-18200e415abf · outbound

This paper cites Accelerating Depen- dent Cache Misses with an Enhanced Memory Controller,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Accelerating Depen- dent Cache Misses with an Enhanced Memory Controller,

Reference 54

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Observation db748a2b-6431-4415-b330-07e4e180b131 · outbound

This paper cites Continuous Runahead: Transparent Hardware Acceleration for Memory Intensive Workloads,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Continuous Runahead: Transparent Hardware Acceleration for Memory Intensive Workloads,

Reference 55

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Observation 2b46a74c-ba6a-494b-b1a3-a95d777e1204 · outbound

This paper cites A Scal- able Processing-in-Memory Accelerator for Parallel Graph Processing,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Scal- able Processing-in-Memory Accelerator for Parallel Graph Processing,

Reference 56

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Observation f7a9d49d-5c94-4252-9bd4-08965599d71c · outbound

This paper cites PIM-Enabled Instruc- tions: A Low-Overhead, Locality-Aware Processing-in-Memory Architecture,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures PIM-Enabled Instruc- tions: A Low-Overhead, Locality-Aware Processing-in-Memory Architecture,

Reference 57

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures GPUs and the Future of Parallel Computing,

Reference 58

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Slave Memories and Dynamic Storage Allocation,

Reference 59

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Reference 60

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Case for Direct-Mapped Caches,

Reference 61

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures High-Bandwidth Data Memory Systems for Su- perscalar Processors,

Reference 62

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures The Microarchitecture of the Intel Pentium 4 Processor on 90nm Technology,

Reference 63

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Tuning the Pentium Pro Microarchitecture,

Reference 64

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures POWER7: IBM’s Next-Generation Server Processor,

Reference 65

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures IBM POWER7 Multicore Server Processor,

Reference 66

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures IBM POWER8 Processor Core Microarchitecture,

Reference 67

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Developing the AMD-K5 Architecture,

Reference 68

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Content-Sensitive Data Prefetching,

Reference 69

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Hardware-Based Cache Pollution Filtering Mechanism for Aggressive Prefetches,

Reference 70

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Effective Stream-Based and Execution-Based Data Prefetching,

Reference 71

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures AC/DC: An Adaptive Data Cache Prefetcher,

Reference 72

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Memory Prefetching Using Adaptive Stream Detection,

Reference 73

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This paper cites Pythia: A Customizable Hardware Prefetching Framework using Online Reinforcement Learning,.

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Pythia: A Customizable Hardware Prefetching Framework using Online Reinforcement Learning,

Reference 74

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Access Map Pattern Matching for Data Cache Prefetch,

Reference 75

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Stride Directed Prefetching in Scalar Processors,

Reference 76

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Effective Hardware-Based Data Prefetching for High-Performance Processors,

Reference 77

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Domino Temporal Data Prefetcher,

Reference 78

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures DSPatch: Dual Spatial Pattern Prefetcher,

Reference 79

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Speculative Execution via Address Prediction and Data Prefetching,

Reference 80

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Coordinated Control of Multiple Prefetchers in Multi-Core Systems,

Reference 81

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Study of Integrated Prefetch- ing and Caching Strategies,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:59.234158Z

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Generalized Correlation-Based Hardware Prefetching,

Reference 83

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Effective Jump-Pointer Prefetching for Linked Data Structures,

Reference 84

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Data Prefetching by Dependence Graph Precomputation,

Reference 85

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Graph Prefetching Using Data Structure Knowledge,

Reference 86

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Gretch: A Hardware Prefetcher for Graph Analytics,

Reference 87

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures PrefEdge: SSD Prefetcher for Large-Scale Graph Traversal,

Reference 88

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Correlation-Based Hardware Prefetching,

Reference 89

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Stateless, Content-Directed Data Prefetching Mechanism,

Reference 90

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Prefetching Using Markov Predictors,

Reference 91

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Feedback Directed Prefetching: Improving the Performance and Bandwidth-Efficiency of Hardware Prefetchers,

Reference 92

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Techniques for Bandwidth-Efficient Prefetching of Linked Data Structures in Hybrid Prefetching Systems,

Reference 93

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Speculative Precomputation: Long-Range Prefetching of Delinquent Loads,

Reference 94

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching,

Reference 95

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Dependence Based Prefetching for Linked Data Structures,

Reference 96

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures SPAID: Software Prefetching in Pointer- and Call-Intensive Environments,

Reference 97

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures A Prefetching Technique for Irregular Accesses to Linked Data Structures,

Reference 98

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures Pointer Cache Assisted Prefetching,

Reference 99

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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures TCP: Tag Correlating Prefetchers,

Reference 100

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