26,098 papers · page 104 of 1,305
Modern processors with large multi-banked register files often rely on hardware solutions to resolve bank conflicts efficiently. However, these hardware-based methods, while flexible, can incur runtime penalties and restrict the exploration of optimized hardware designs. In contr…
Despite decades of improvement in compiler technology, it remains necessary to profile applications to improve performance. Existing profiling tools typically either sample hardware performance counters or instrument the program with extra instructions to analyze its execution. B…
Computing gradients is a crucial task in many domains, including machine learning, physics simulations, and scientific computing. Automatic differentiation (AD) computes gradients for arbitrary imperative code. In reverse mode AD, an auxiliary structure, the tape, is used to tran…
Incremental builds are commonly employed in software development, involving minor changes to existing source code that is then frequently recompiled. Speeding up incremental builds not only enhances the software development workflow but also improves CI/CD systems by enabling fas…
The ever increasing scale of modern data center demands more effective optimizations, as even a small percentage of performance improvement can result in a significant reduction in data-center cost and its environmental footprint. However, the diverse set of workloads running in …
In order to come close to peak performance, accelerators like GPUs require significant architecture-specific tuning that understand the availability of shared memory, parallelism, tensor cores, etc. Unfortunately, the pursuit of higher performance and lower costs have led to a si…
Machine Learning (ML) models execute several parallel computations including Generalized Matrix Multiplication, Convolution, Dropout, etc. These computations are commonly executed on Graphics Processing Units (GPUs), by dividing the computation into independent processing blocks,…
Loop tiling is a high-order transformation used to increase data locality and performance. While previous work has considered its application to several domains and architectures, its potential impact on energy efficiency has been largely ignored. In this work, we present an Ener…
System-level emulators have been used extensively for the design, debugging and evaluation of the system software. They work by providing a system-level virtual machine that can support a guest operating system (OS) running on a platform with the same or different native OS using…
Soft errors are a type of transient digital signal corruption that occurs in digital hardware components such as the internal flip-flops of CPU pipelines, the register file, memory cells, and even internal communication buses. Soft errors are caused by environmental radioactivity…
The IFDS (Inter-procedural, Finite, Distributive, Subset) algorithms are popularly used to solve a wide range of analysis problems. In particular, many interesting problems are formulated as multi-solver IFDS problems which expect multiple interleaved IFDS solvers to work togethe…
With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed significantly from a few hot spots on compute-intensive operations to a broad range of operations scattered across the models. Acce…
Compiler research and development has treated computation as the primary driver of performance improvements in C/C++ programs, leaving memory optimizations as a secondary consideration. Developers are currently handed the arduous task of describing both the semantics and layout o…
Compilers use a wide range of advanced optimizations to improve the quality of the machine code they generate. In most cases, compiler optimizations rely on precise analyses to be able to perform the optimizations. However, whenever a control-flow merge is performed information i…
Large Language Models (LLMs) exhibit a unique phenomenon known as emergent abilities, demonstrating adeptness across numerous tasks, from text summarization to code generation. While these abilities open up novel avenues in software design and crafting, their incorporation presen…
On behalf of the Program Committee of the International Symposium on Code Generation and Optimization (CGO), we are delighted to present the papers featured in the 2024 edition of the conference. This year marks a significant milestone in the history of CGO, as the symposium embr…
Battery-free devices enable sensing in hard-to-access locations, opening up new opportunities in various fields such as healthcare, space, or civil engineering. Such devices harvest ambient energy and store it in a capacitor. Due to the unpredictable nature of the harvested energ…
Go is a modern programming language gaining popularity in enterprise microservice systems. Concurrency is a first-class citizen in Go with lightweight “goroutines” as the building blocks of concurrent execution. Go advocates message-passing to communicate and synchronize among go…
Tuning compiler heuristics and parameters is well known to improve optimization outcomes dramatically. Prior works have tuned command line flags and a few expert identified heuristics. However, there are an unknown number of heuristics buried, unmarked and unexposed inside the co…
Sparse tensors are prevalent in many data-intensive applications. However, existing automatic differentiation (AD) frameworks are tailored towards dense tensors, which makes it a challenge to efficiently compute gradients through sparse tensor operations. This is due to irregular…