Publications associées à Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores

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The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles the ensuing challenges by designing processors and accelerators tailored for t ...

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Highly Parallel RTL Simulation

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EPFL2024

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EPFL2024

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EPFL2023

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Embedded systems confront two opposite goals: low-power operation and high performance. The current trend to reach these goals is toward heterogeneous platforms, including multi-core architectures with heterogeneous cores and hardware accelerators. The lat ...

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Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

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The demise of Moore's Law and Dennard scaling has resulted in diminishing performance gains for general-purpose processors, and so has prompted a surge in academic and commercial interest for hardware accelerators. Specialized hardware has already redefine ...

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Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles

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ACM2023

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Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

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Finding cycles in directed graphs enables important applications in various domains such as finance, biology, chemistry, and network science. However, as the size of graph datasets continues to grow, it becomes increasingly difficult to discover cycles wit ...

arXiv2023

Homogenous power distribution along gyrotron collector walls

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EC RF power sources will play a major role in the future operation of large scale tokamaks (ITER, DEMO). A 1MW/170GHz gyrotron is the standard RF power unit considered for ITER. Even though the efficiency of such devices has been significantly increased th ...

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Acceleration of graph pattern mining and applications to financial crime

Jovan Blanusa

Various forms of real-world data, such as social, financial, and biological networks, can be represented using graphs. An efficient method of analysing this type of data is to extract subgraph patterns, such as cliques, cycles, and motifs, from graphs. For ...

EPFL2023

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs

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Side-channel disassembly attacks recover CPU instructions from power or electromagnetic side-channel traces measured during code execution. These attacks typically rely on physical access, proximity to the victim device, and high sampling rate measuring in ...

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The thermodynamic and life-cycle assessments of a novel charging station for electric vehicles in dynamic and steady-state conditions

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Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

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Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

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Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along ...

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Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

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Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...

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Decentralized in-order execution of a sequential task-based code for shared-memory architectures

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The hardware complexity of modern machines makes the design of adequate programming models crucial for jointly ensuring performance, portability, and productivity in high-performance computing (HPC). Sequential task-based programming models paired with adv ...

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Micro BTB: A High Performance and Storage Efficient Last-Level Branch Target Buffer for Servers

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High-performance branch target buffers (BTBs) and the L1I cache are key to high-performance front-end. Modern branch predictors are highly accurate, but with an increase in code footprint in modern-day server workloads, BTB and L1I misses are still frequen ...

ASSOC COMPUTING MACHINERY2022

Efficient Analytical Query Processing on CPU-GPU Hardware Platforms

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Timely insights lead to business growth and scientific breakthroughs but require analytical engines that cope with the ever-increasing data processing needs. Analytical engines relied on rapid CPU improvements, yet the end of Dennard scaling stopped the fr ...

EPFL2022