Publications by Christos Kozyrakis

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In recent years the computing landscape has seen an increasing shift towards specialized accelerators. Field programmable gate arrays (FPGAs) are particularly promising for the implementation of these accelerators, as they offer significant performance and ...

Energy proportionality and workload consolidation are important objectives towards increasing efficiency in large-scale datacenters. Our work focuses on achieving these goals in the presence of applications with microsecond-scale tail latency requirements. ...

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and microsecond-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. We present IX, a dataplane operati ...

FPGAs are a popular target for application-specific accelerators because they lead to a good balance between flexibility and energy efficiency. However, FPGA lookup tables introduce significant area and power overheads, making it difficult to use FPGA devi ...

Cloud computing promises flexibility and high performance for users and cost efficiency for operators. To achieve this, cloud providers offer instances of different sizes, both as long-term reservations and short-term, on-demand allocations. Unfortunately, ...

The energy constraints due to the end of Dennard scaling, the popularity of in-memory analytics, and the advances in 3D integration technology have led to renewed interest in near-data processing (NDP) architectures that move processing closer to main memo ...

Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for improved performance and energy efficiency. Unfortunately, adoption of these architectures has been limited by their programming models. HDLs lack abstractions for pr ...

Acceleration in the form of customized datapaths offer large performance and energy improvements over general purpose processors. Reconfigurable fabrics such as FPGAs are gaining popularity for use in implementing application-specific accelerators, thereby ...

Christos Kozyrakis

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Generating Configurable Hardware from Parallel Patterns

Energy Proportionality and Workload Consolidation for Latency-Critical Applications

IX: A Protected Dataplane Operating System for High Throughput and Low Latency

DRAF: A Low-Power DRAM-based Reconfigurable Acceleration Fabric

HCloud: Resource-Efficient Provisioning in Shared Cloud Systems

HRL: Efficient and Flexible Reconfigurable Logic for Near-Data Processing

Spatial: A Language and Compiler for Application Accelerators

Automatic Generation of Efficient Accelerators for Reconfigurable Hardware