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HexT5: Unified Pre-Training for Stripped Binary Code Information Inference by Xiong, Jiaqi, Chen, Guoqiang, Chen, Kejiang, Gao, Han, Cheng, Shaoyin, Zhang, Weiming

“…Decompilation is a widely used process for reverse engineers to significantly enhance code readability by lifting assembly code to a higher-level C-like…”
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Whose Baseline Compiler is it Anyway? by Titzer, Ben L.

“…Compilers face an intrinsic tradeoff between compilation speed and code quality. The tradeoff is particularly stark in a dynamic setting where JIT compilation time contributes to application runtime…”
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Speculative Decoding for Verilog: Speed and Quality, All in One by Xu, Changran, Liu, Yi, Zhou, Yunhao, Huang, Shan, Xu, Ningyi, Xu, Qiang

“…The rapid advancement of large language models (LLMs) has revolutionized code generation tasks across various programming languages. However, the unique…”
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Experiences Building an MLIR-Based SYCL Compiler by Tiotto, Ettore, Perez, Victor, Tsang, Whitney, Sommer, Lukas, Oppermann, Julian, Lomuller, Victor, Goli, Mehdi, Brodman, James

“…Similar to other programming models, compilers for SYCL, the open programming model for heterogeneous computing based on C++…”
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A System-Level Dynamic Binary Translator Using Automatically-Learned Translation Rules by Jiang, Jinhu, Liang, Chaoyi, Dong, Rongchao, Yang, Zhaohui, Zhou, Zhongjun, Wang, Wenwen, Yew, Pen-Chung, Zhang, Weihua

“…System-level emulators have been used extensively for the design, debugging and evaluation of the system software…”
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A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers by Phothilimthana, Phitchaya Mangpo, Sabne, Amit, Sarda, Nikhil, Murthy, Karthik Srinivasa, Zhou, Yanqi, Angermueller, Christof, Burrows, Mike, Roy, Sudip, Mandke, Ketan, Farahani, Rezsa, Wang, Yu Emma, Ilbeyi, Berkin, Hechtman, Blake, Roune, Bjarke, Wang, Shen, Xu, Yuanzhong, Kaufman, Samuel J.

“…Search-based techniques have been demonstrated effective in solving complex optimization problems that arise in domain-specific compilers for machine learning (ML…”
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Adora Compiler: End-to-End Optimization for High-Efficiency Dataflow Acceleration and Task Pipelining on CGRAs by Lou, Jiahang, Zhu, Qilong, Dai, Yuan, Zhong, Zewei, Yin, Wenbo, Wang, Lingli

“…To fully harness emerging computing architectures, compilers must provide intuitive input handling alongside powerful code optimization to unlock maximum performance…”
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mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR Using Program Synthesis by Brauckmann, Alexander, Polgreen, Elizabeth, Grosser, Tobias, O'Boyle, Michael F. P.

“…MLIR is an emerging compiler infrastructure for modern hardware, but existing programs cannot take advantage of MLIR's high-performance compilation if they are described in lower-level general purpose languages…”
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Representing Data Collections in an SSA Form by McMichen, Tommy, Greiner, Nathan, Zhong, Peter, Sossai, Federico, Patel, Atmn, Campanoni, Simone

“…Compiler research and development has treated computation as the primary driver of performance improvements in C/C++…”
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Polygeist: Raising C to Polyhedral MLIR by Moses, William S., Chelini, Lorenzo, Zhao, Ruizhe, Zinenko, Oleksandr

“…We present Polygeist, a new compilation flow that connects the MLIR compiler infrastructure to cutting edge polyhedral optimization tools…”
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oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation by Li, Jianhui, Qin, Zhennan, Mei, Yijie, Cui, Jingze, Song, Yunfei, Chen, Ciyong, Zhang, Yifei, Du, Longsheng, Cheng, Xianhang, Jin, Baihui, Zhang, Yan, Ye, Jason, Lin, Eric, Lavery, Dan

“… We present oneDNN Graph Compiler, a tensor compiler…”
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PyraNet: A Multi-Layered Hierarchical Dataset for Verilog by Nadimi, Bardia, Boutaib, Ghali Omar, Zheng, Hao

“…Recently, there has been a growing interest in leveraging Large Language Models for Verilog code generation. However, the current quality of the generated…”
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PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler by Consolaro, Gianpietro, Zhang, Zhen, Razanajato, Harenome, Lossing, Nelson, Tchoulak, Nassim, Susungi, Adilla, Araujo Alves, Artur Cesar, Zhang, Renwei, Barthou, Denis, Ancourt, Corinne, Bastoul, Cedric

“…Polyhedral techniques have been widely used for automatic code optimization in low-level compilers and higher-level processes…”
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Compiler Auto-Tuning via Critical Flag Selection by Zhu, Mingxuan, Hao, Dan

“…Widely used compilers like GCC usually have hundreds of optimizations controlled by optimization flags, which can be enabled or disabled during compilation to improve the runtime performance of a compiled program…”
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Toast: A Heterogeneous Memory Management System by Bailleu, Maurice, Stavrakakis, Dimitrios, Rocha, Rodrigo, Chakraborty, Soham, Garg, Deepak, Bhatotia, Pramod

“… We implement Toast in the Clang/LLVM compiler framework accompanied by a runtime library, employing software storage capabilities and hardware-based protection mechanisms…”
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Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs by Zhao, Xiaolei, Chen, Zhaoyun, Shi, Yang, Wen, Mei, Zhang, Chunyun

“…Digital signal processors (DSPs) commonly adopt VLIW-SIMD architecture and are extensively applied in most compute-heavy embedded sensing applications. The…”
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INTERTRANS: Leveraging Transitive Intermediate Translations to Enhance LLM-Based Code Translation by Macedo, Marcos, Tian, Yuan, Nie, Pengyu, Cogo, Filipe R., Adams, Bram

“…Code translation aims to convert a program from one programming language (PL) to another. This long-standing software engineering task is crucial…”
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Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs by Murtovi, Alnis, Georgakoudis, Giorgis, Parasyris, Konstantinos, Liao, Chunhua, Laguna, Ignacio, Steffen, Bernhard

“…Compilers use a wide range of advanced optimizations to improve the quality of the machine code they generate…”
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Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm by Li, Zhaoying, Wu, Dan, Wijerathne, Dhananjaya, Chen, Dan, Li, Huize, Tan, Cheng, Mitra, Tulika

“… Effective compilers play a crucial role in fully realizing its potential. The compiler maps Data Flow Graphs (DFGs…”
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An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration by He, Xianhao, Wang, Haotian, Zhang, Jiapeng, Yang, Wangdong, Chronopoulos, Anthony Theodore, Li, Kenli

“…Sparsity is widely prevalent in real-world applications, yet existing compiler optimizations and code generation techniques for sparse computations remain underdeveloped…”
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