--- title: "Proceedings - International Symposium on High-Performance" description: "Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2024 — accepted papers: 1 paper in the…" canonical: "https://research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Proceedings - International Symposium…](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/) / 2024 # Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2024 — accepted papers Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2024 is the 2024 edition of the Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 87 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**87** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/#works) · [**218** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators ↗](https://doi.org/10.1109/hpca57654.2024.00022)**Jingwei Cai, Zuotong Wu, Sen Peng et al.*68 citations* 2. **[An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models ↗](https://doi.org/10.1109/hpca57654.2024.00078)**Sangsoo Park, Kyung-Soo Kim, Jinin So et al.*67 citations* 3. **[Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology ↗](https://doi.org/10.1109/hpca57654.2024.00029)**Bongjoon Hyun, Taehun Kim, Dongjae Lee et al.*62 citations* 4. **[ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI ↗](https://doi.org/10.1109/hpca57654.2024.00058)**Chetan Choppali Sudarshan, Nikhil Matkar, Sarma B. K. Vrudhula et al.*56 citations* 5. **[SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding ↗](https://doi.org/10.1109/hpca57654.2024.00082)**Fangxin Liu, Ning Yang, Haoming Li et al.*50 citations* 6. **[BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration ↗](https://doi.org/10.1109/hpca57654.2024.00062)**Man Shi, Vikram Jain, Antony Joseph et al.*46 citations* 7. **[Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator ↗](https://doi.org/10.1109/hpca57654.2024.00059)**Hanqing Zhu, Jiaqi Gu, Hanrui Wang et al.*46 citations* 8. **[MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Computing ↗](https://doi.org/10.1109/hpca57654.2024.00024)**Geraldo Francisco de Oliveira Junior, Ataberk Olgun, A. Giray Yağlıkçı et al.*44 citations* 9. **[FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy ↗](https://doi.org/10.1109/hpca57654.2024.00064)**Jaeyong Jang, Yulhwa Kim, J.B. Lee et al.*41 citations* 10. **[Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis ↗](https://doi.org/10.1109/hpca57654.2024.00030)**İsmail Emir Yüksel, Yahya Can Tuğrul, Ataberk Olgun et al.*33 citations* ## All accepted papers (87) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators ↗](https://doi.org/10.1109/hpca57654.2024.00022)**Jingwei Cai, Zuotong Wu, Sen Peng et al.*68 citations* 2. **[An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models ↗](https://doi.org/10.1109/hpca57654.2024.00078)**Sangsoo Park, Kyung-Soo Kim, Jinin So et al.*67 citations* 3. **[Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology ↗](https://doi.org/10.1109/hpca57654.2024.00029)**Bongjoon Hyun, Taehun Kim, Dongjae Lee et al.*62 citations* 4. **[ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI ↗](https://doi.org/10.1109/hpca57654.2024.00058)**Chetan Choppali Sudarshan, Nikhil Matkar, Sarma B. K. Vrudhula et al.*56 citations* 5. **[SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding ↗](https://doi.org/10.1109/hpca57654.2024.00082)**Fangxin Liu, Ning Yang, Haoming Li et al.*50 citations* 6. **[BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration ↗](https://doi.org/10.1109/hpca57654.2024.00062)**Man Shi, Vikram Jain, Antony Joseph et al.*46 citations* 7. **[Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator ↗](https://doi.org/10.1109/hpca57654.2024.00059)**Hanqing Zhu, Jiaqi Gu, Hanrui Wang et al.*46 citations* 8. **[MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Computing ↗](https://doi.org/10.1109/hpca57654.2024.00024)**Geraldo Francisco de Oliveira Junior, Ataberk Olgun, A. Giray Yağlıkçı et al.*44 citations* 9. **[FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy ↗](https://doi.org/10.1109/hpca57654.2024.00064)**Jaeyong Jang, Yulhwa Kim, J.B. Lee et al.*41 citations* 10. **[Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis ↗](https://doi.org/10.1109/hpca57654.2024.00030)**İsmail Emir Yüksel, Yahya Can Tuğrul, Ataberk Olgun et al.*33 citations* 11. **[MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization ↗](https://doi.org/10.1109/hpca57654.2024.00020)**Zeyu Zhu, Fanrong Li, Gang Li et al.*28 citations* 12. **[PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration ↗](https://doi.org/10.1109/hpca57654.2024.00019)**Deniz Gurevin, Mohsin Shan, Shaoyi Huang et al.*28 citations* 13. **[START: Scalable Tracking for any Rowhammer Threshold ↗](https://doi.org/10.1109/hpca57654.2024.00049)**Anish Saxena, Moinuddin K. Qureshi*28 citations* 14. **[BeaconGNN: Large-Scale GNN Acceleration with Out-of-Order Streaming In-Storage Computing ↗](https://doi.org/10.1109/hpca57654.2024.00033)**Yuyue Wang, Xiurui Pan, Yuda An et al.*27 citations* 15. **[CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost ↗](https://doi.org/10.1109/hpca57654.2024.00050)**Fatma Nisa Bostanci, İsmail Emir Yüksel, Ataberk Olgun et al.*27 citations* 16. **[CHROME: Concurrency-Aware Holistic Cache Management Framework with Online Reinforcement Learning ↗](https://doi.org/10.1109/hpca57654.2024.00090)**Xiaoyang Lu, Hamed Najafi, Jason Liu et al.*26 citations* 17. **[Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System ↗](https://doi.org/10.1109/hpca57654.2024.00034)**Hongsun Jang, Jaeyong Song, Jaewon Jung et al.*26 citations* 18. **[Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse ↗](https://doi.org/10.1109/hpca57654.2024.00028)**Prasetiyo, Adiwena Putra, Joo-Young Kim*23 citations* 19. **[ASADI: Accelerating Sparse Attention Using Diagonal-based In-Situ Computing ↗](https://doi.org/10.1109/hpca57654.2024.00065)**Huize Li, Zhaoying Li, Zhenyu Bai et al.*22 citations* 20. **[Enhancing Collective Communication in MCM Accelerators for Deep Learning Training ↗](https://doi.org/10.1109/hpca57654.2024.00069)**Sabuj Laskar, Pranati Majhi, Sungkeun Kim et al.*22 citations* 21. **[Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions ↗](https://doi.org/10.1109/hpca57654.2024.00048)**A. Giray Yağlıkçı, Yahya Can Tuğrul, Geraldo Francisco de Oliveira Junior et al.*22 citations* 22. **[Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory ↗](https://doi.org/10.1109/hpca57654.2024.00021)**Jeongmin Hong, Sungjun Cho, Geonwoo Park et al.*21 citations* 23. **[Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation ↗](https://doi.org/10.1109/hpca57654.2024.00023)**Ruixin Mao, Lin Tang, Xingyu Yuan et al.*21 citations* 24. **[2024 IEEE International Symposium on High-Performance Computer Architecture HPCA 2024 ↗](https://doi.org/10.1109/hpca57654.2024.00001)***19 citations* 25. **[GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement ↗](https://doi.org/10.1109/hpca57654.2024.00085)**Yueqi Wang, Bingyao Li, Aamer Jaleel et al.*19 citations* [See all 87 papers in Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/papers/) ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency](https://md.research.elamur.ai/free/en/papers/stojkovic-2024-dynamollm-designing-llm-inference-clusters/) [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/)**Jovan Stojkovic, Chaojie Zhang, Inigo Goiri, et al.*2024 · 218 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Fields [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Chaojie Zhang**1 work here · 218 citations](https://md.research.elamur.ai/free/en/authors/chaojie-zhang/) · [🧑‍🔬**Esha Choukse**1 work here · 218 citations](https://md.research.elamur.ai/free/en/authors/esha-choukse/) · [🧑‍🔬**Íñigo Goiri**1 work here · 218 citations](https://md.research.elamur.ai/free/en/authors/inigo-goiri/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) works and citations from OpenAlex and our library. - [← previous Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2020](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2020/) - [↑ back to Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/)