Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads | Paper Citation Record

Observation 06d04031-fda7-4d28-9907-473ebc9736d8 · outbound

This paper cites De- mystifying the characteristics of high bandwidth memory for real-time systems,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads De- mystifying the characteristics of high bandwidth memory for real-time systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.947302Z

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Observation 2c75d2c7-c8f5-48c7-b08c-71c54d5a952e · outbound

This paper cites Reconfigurable processing-in-memory architecture for data intensive applications,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Reconfigurable processing-in-memory architecture for data intensive applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.939172Z

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This paper cites Edge tpu system requirements,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Edge tpu system requirements,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.930564Z

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This paper cites Edge tpu system-on-module (som),.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Edge tpu system-on-module (som),

Reference 4

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This paper cites Per- mdnn: Efficient compressed dnn architecture with permuted diagonal matrices,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Per- mdnn: Efficient compressed dnn architecture with permuted diagonal matrices,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.914064Z

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Observation 599e947e-9eff-41c6-bd19-401f762406bc · outbound

This paper cites Dracc: A dram based accelerator for accurate cnn inference,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Dracc: A dram based accelerator for accurate cnn inference,

Reference 6

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This paper cites Lacc: Exploiting lookup table-based fast and accurate vector multiplication in dram-based cnn accelerator,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Lacc: Exploiting lookup table-based fast and accurate vector multiplication in dram-based cnn accelerator,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.896189Z

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Observation 2f758c8a-0046-464f-a285-c2473ac470aa · outbound

This paper cites To pim or not for emerging general purpose processing in ddr memory systems,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads To pim or not for emerging general purpose processing in ddr memory systems,

Reference 8

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Observation c872b4a7-2f96-42eb-93ed-f7ca72d7debc · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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Observation 093c27ec-3d6f-4c60-b36b-0cacb15296a8 · outbound

This paper cites Neural cache: Bit-serial in-cache acceleration of deep neural networks,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Neural cache: Bit-serial in-cache acceleration of deep neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.878975Z

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Observation c84cef13-77f5-4da0-8780-c3d10e370587 · outbound

This paper cites pluto: Enabling massively parallel computation in dram via lookup tables,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads pluto: Enabling massively parallel computation in dram via lookup tables,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.871317Z

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Observation ef250a92-b9c6-4329-8d3a-237e702f7b1c · outbound

This paper cites Computedram: In-memory compute using off-the-shelf drams,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Computedram: In-memory compute using off-the-shelf drams,

Reference 12

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Observation b42bde5e-d0db-48e5-a3f2-641ebc61dc92 · outbound

This paper cites The processing-in-memory paradigm: Mechanisms to enable adoption,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads The processing-in-memory paradigm: Mechanisms to enable adoption,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.858855Z

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This paper cites Simdram: A framework for bit-serial simd processing using dram,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Simdram: A framework for bit-serial simd processing using dram,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.851388Z

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This paper cites Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.842571Z

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Observation 97c925d9-9d01-4496-8a50-d2ef2db8af67 · outbound

This paper cites Eie: Efficient inference engine on compressed deep neural network,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Eie: Efficient inference engine on compressed deep neural network,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.362272Z

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Observation 34253aa8-f46d-4ca1-b042-72f45f4d8c43 · outbound

This paper cites SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation

Reference 17

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Observation 8ead88ef-72ec-4edd-ae6b-1a8cb96a5b13 · outbound

This paper cites Newton: A dram-maker’s accelerator-in-memory (aim) architecture for machine learning,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Newton: A dram-maker’s accelerator-in-memory (aim) architecture for machine learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.367072Z

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Observation b429522a-79c8-4766-9530-781c6ea52693 · outbound

This paper cites Teaching machines to read and comprehend,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Teaching machines to read and comprehend,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.823688Z

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Observation 3c776fed-a0ac-4841-a883-97a1d094d7f1 · outbound

This paper cites Intel ® xeon® w-2245 processor specifications,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Intel ® xeon® w-2245 processor specifications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.815354Z

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This paper cites Near-memory com- puting on fpgas with 3d-stacked memories: Applications, architectures, and optimizations,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Near-memory com- puting on fpgas with 3d-stacked memories: Applications, architectures, and optimizations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.805468Z

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Observation c3c9a385-a241-424c-a0e1-8b8779bc65f1 · outbound

This paper cites Mnnfast: A fast and scalable system architecture for memory-augmented neural networks,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Mnnfast: A fast and scalable system architecture for memory-augmented neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.795813Z

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This paper cites Jedec standard jesd235d: High bandwidth memory (hbm1, hbm2) dram specification,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Jedec standard jesd235d: High bandwidth memory (hbm1, hbm2) dram specification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.787989Z

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This paper cites Keeth, R.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Keeth, R

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.780542Z

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Observation b87adc31-0f5b-4f78-8978-8f64f112a51a · outbound

This paper cites Dna-teq: An adaptive exponential quantization of tensors for dnn inference,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Dna-teq: An adaptive exponential quantization of tensors for dnn inference,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.773895Z

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This paper cites An energy- efficient near-data processing accelerator for dnns to optimize memory accesses,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads An energy- efficient near-data processing accelerator for dnns to optimize memory accesses,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.766086Z

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This paper cites Neurocube: A programmable digital neuromorphic architecture with high-density 3d memory,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Neurocube: A programmable digital neuromorphic architecture with high-density 3d memory,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.755893Z

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This paper cites A case for exploiting subarray-level parallelism (salp) in dram,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads A case for exploiting subarray-level parallelism (salp) in dram,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.747604Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites Assessing merged dram/logic technology,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Assessing merged dram/logic technology,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.739288Z

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This paper cites Fulcrum: A simplified control and access mechanism toward flexible and practical in-situ accelerators,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Fulcrum: A simplified control and access mechanism toward flexible and practical in-situ accelerators,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.730719Z

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Observation cc442e69-9a01-4d45-979d-5a5f1d174da0 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 31

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Observation 1339144f-ea18-47d3-b247-96f40bdad533 · outbound

This paper cites Drisa: A dram-based reconfigurable in-situ accelerator,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Drisa: A dram-based reconfigurable in-situ accelerator,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.721854Z

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Observation e902616e-9f4d-402d-a725-eb33af8ffddd · outbound

This paper cites Learning word vectors for sentiment analysis,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Learning word vectors for sentiment analysis,

Reference 33

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This paper cites Dram power calculator,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Dram power calculator,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.705046Z

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Observation 0d76a020-1f10-46c1-aef4-3a92e5ffe0a4 · outbound

This paper cites Pro- cessing data where it makes sense: Enabling in-memory computation,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Pro- cessing data where it makes sense: Enabling in-memory computation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.696898Z

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Observation d54fabf1-9ddf-4fd5-9a09-142140f13d60 · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 36

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This paper cites Nvidia management library (nvml),.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Nvidia management library (nvml),

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.689384Z

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Observation 44667e57-3c8e-47c2-88a0-aaf939990cb7 · outbound

This paper cites Fine-grained dram: Energy-efficient dram for extreme bandwidth systems,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Fine-grained dram: Energy-efficient dram for extreme bandwidth systems,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.426075Z

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Unavailable: canonical work link unavailable.

Observation bd4f909b-2128-4e34-b702-6a30735bf1f3 · outbound

This paper cites Fine-grained dram: Energy-efficient dram for extreme bandwidth systems,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Fine-grained dram: Energy-efficient dram for extreme bandwidth systems,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.677493Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 491543cd-fb73-49ea-8456-5dfb37f961b4 · outbound

This paper cites Google coral edge tpu,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Google coral edge tpu,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.668918Z

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Observation 760292e0-dae9-4e98-9489-5182e01d0e5a · outbound

This paper cites Language models are unsupervised multitask learners,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Language models are unsupervised multitask learners,

Reference 41

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Observation d5427795-a5c4-4434-8d71-fc09938922cd · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Squad: 100,000+ questions for machine comprehension of text,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.655628Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7d02581-3f0d-487f-a165-f9b4b10fbf1c · outbound

This paper cites Redy: A novel reram-centric dynamic quantization approach for energy-efficient cnns,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Redy: A novel reram-centric dynamic quantization approach for energy-efficient cnns,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.647418Z

Source-reported events for the cited work

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Observation 3fc2efe2-33f2-4025-b03f-225a2b08001c · outbound

This paper cites SCALE-Sim: Systolic CNN Accelerator Simulator.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads SCALE-Sim: Systolic CNN Accelerator Simulator

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ddf57d-0fc9-425d-ae4a-e694d0ecd40d · outbound

This paper cites Ambit: In- memory accelerator for bulk bitwise operations using commodity dram technology,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Ambit: In- memory accelerator for bulk bitwise operations using commodity dram technology,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.639024Z

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Observation cf966cc3-7757-4d4b-88a5-e81b5f3c87f4 · outbound

This paper cites The Processing Using Memory Paradigm:In-DRAM Bulk Copy, Initialization, Bitwise AND and OR.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads The Processing Using Memory Paradigm:In-DRAM Bulk Copy, Initialization, Bitwise AND and OR

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.446687Z

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Unavailable: canonical work link unavailable.

Observation 0174c435-b775-4ec3-9cd4-7e802b68f57d · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.630096Z

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Observation 87a92be9-fa2c-405d-aa8e-36795b575032 · outbound

This paper cites ppim: A programmable processor-in-memory architecture with precision-scaling for deep learning,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads ppim: A programmable processor-in-memory architecture with precision-scaling for deep learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.621793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6b1aeeb-906e-4ee1-b4d3-f2d0acf64a7f · outbound

This paper cites Hbm: Memory solution for high performance processors,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Hbm: Memory solution for high performance processors,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.613420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 596cdc31-8a83-4c49-bacb-b09b4717368e · outbound

This paper cites Understanding the energy consumption of dynamic ran- dom access memories,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Understanding the energy consumption of dynamic ran- dom access memories,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.604954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86437269-645d-40f2-99b4-c9010626b2a7 · outbound

This paper cites Renew: Enhancing lifetime for reram crossbar based neural network accelerators,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Renew: Enhancing lifetime for reram crossbar based neural network accelerators,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.597459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae2c4b19-277b-48a3-8bb2-bcc2760f7c4f · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.463971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5f309f-b01f-479e-8cf2-eaecd5c920d9 · outbound

This paper cites Transformers: State-of- the-art natural language processing,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Transformers: State-of- the-art natural language processing,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.467028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b518bac-e2f6-4da4-a51f-dbced7802144 · outbound

This paper cites Interstellar: Using halide’s scheduling language to analyze dnn accelerators,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Interstellar: Using halide’s scheduling language to analyze dnn accelerators,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.585033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4ca9517-0029-49fc-b2c9-15231d3147c9 · outbound

This paper cites Mokey: Enabling narrow fixed-point inference for out-of-the-box floating-point transformer models,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Mokey: Enabling narrow fixed-point inference for out-of-the-box floating-point transformer models,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.576846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ee7e4aa-74ec-43ea-bf87-6945ec547943 · outbound

This paper cites Transpim: A memory- based acceleration via software-hardware co-design for transformer,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Transpim: A memory- based acceleration via software-hardware co-design for transformer,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T13:17:47.476061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee42c32-1ba2-4b80-bce2-e98fc29059ff · outbound

This paper cites Red-lut: Reconfigurable in- dram luts enabling massive parallel computation,.

Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads Red-lut: Reconfigurable in- dram luts enabling massive parallel computation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:17:47.563082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers