SHA-3 Hardware Implementations

1 Important Information

This page summarizes key properties of reported hardware implementations of the SHA-3 candidates. This is work in progess. The implementations are categorized into FPGA and standard-cell ASIC implementations.

Note that the diversity of implementation scope, target technologies, and synthesis tools makes direct comparisions between different hardware implementation difficult. The more of these parameters agree, the more reasonable the comparison becomes.

The target technology should be as similar as possible. For FPGA implementation, it is desirable to compare implementations on the same target device (or at least on devices of the same FPGA family). For standard-cell ASIC implementation, at least the minimal gate length of the process (e.g., 0.13 µm) should agree. More ideally, the implementations use the same standard-cell library (which implies the use of the same process technology).

In order to facilitate the comparision of hardware modules with different implementation scopes, we classify them into three categories:

• Fully autonomous
• Using external memory
• Core functionality

For suggestions regarding the structure of this site, let us know at sha3zoo-hardware@iaik.tugraz.at

1.1 Fully Autonomous Implementation

Such hardware implementations include the complete functionality of a SHA-3 candidate (or a specific version thereof). That means the input message can be loaded piecewise into the hardware module and it delivers the message digest as output. All hash calculations happen exclusively within the hardware module. If integrated in a system, the achievable throughput of a fully autonomous implementation depends on the speed of the hardware module itself and the speed of the (system dependent) data interface delivering the input message.

1.2 Implementation with External Memory

These implementations use external memory to hold intermediate values during the hashing of a message. The implemented hardware itself normally consists of the core logic functionality of the hash function, some registers for short-lived temporary values, and possible a memory controller for access to the external memory. Such implementations can load the input message either over a dedicated interface (similar to a fully autonomous implementation) or from the external memory. In order to reach the maximal throughput of the hardware module, the external memory must be sufficiently fast.

1.3 Implementation of Core Functionality

Such implementations comprise only important parts of the hash function (e.g., the compression function), which normally allows to get a first-order estimate of the performance figures of full implementations.

2 High-Speed Implementations (FPGA)

Important note: The size and fuctionality of slices varies between FPGA families. A direct comparision of the slice count of implementations on different FPGA families is therefore problematic.

Hash Function Name	Reference	Impl. Scope	Impl. Details	Technology	Size	Throughput	Clock Frequency
Grøstl-224/256	Submission document	Fully autonomous	P & Q permutation in parallel	Xilinx Spartan 3	6582 slices	4439 Mbit/s	86.7 MHz
Grøstl-224/256	Submission document	Fully autonomous	P & Q permutation in parallel	Xilinx Virtex 5	1722 slices	10276 Mbit/s	200.7 MHz
Grøstl-384/512	Submission document	Fully autonomous	P & Q permutation in parallel	Xilinx Spartan 3	20233 slices	5901 Mbit/s	80.7 MHz
Grøstl-384/512	Submission document	Fully autonomous	P & Q permutation in parallel	Xilinx Virtex 5	5419 slices	15395 Mbit/s	210.5 MHz
MD6	Submission document	Core functionality	Compression function with 16 parallel steps	Xilinx Virtex-II Pro	5313 slices	1232 Mbit/s	150.3 MHz
MD6	Submission document	Core functionality	Compression function with 32 parallel steps	Xilinx Virtex-II Pro	7529 slices	1894 Mbit/s	141.6 MHz

3 High-Speed Implementations (ASIC)

Hash Function Name	Reference	Impl. Scope	Implementation Details	Technology	Size	Throughput	Clock Frequency
Grøstl-224/256	Submission document	Fully autonomous	P & Q permutation in parallel	UMC 0.18 µm	131 kGates	4379 Mbit/s	85.5 MHz
Grøstl-384/512	Submission document	Fully autonomous	P & Q permutation in parallel	UMC 0.18 µm	341 kGates	6225 Mbit/s	85.1 MHz
Keccak	Submission document	Fully autonomous	Core (round function, state register) & IO buffer	ST 0.13 µm	48 kGates	28400 Mbit/s	500 MHz
Keccak	Submission document	Fully autonomous	Core (round function, state register) only	ST 0.13 µm	40 kGates	15000 Mbit/s	500 MHz
MD6	Submission document	Core functionality	Compression function with 48 parallel steps	GPDSK 90 nm	145 kGates	N/A	200 MHz
MD6	Submission document	Using external memory	Compression function with 16 parallel steps & memory control logic	GPDSK 90 nm	105 kGates	N/A	200 MHz

4 Low-Area Implementations (ASIC)

Hash Function Name	Reference	Impl. Scope	Implementation Details	Technology	Size	Throughput	Clock Frequency
Keccak	Submission document	Using external memory	Small core using system memory	ST 0.13 µm	6 kGates	26 Mbit/s(*)	100 MHz

(*) Estimation for 64-bit memory interface based on published performance figures: (1024 bits/permutation) * (100 * 10^6 cycles/s) / (3870 cycles/permutation) = 26.46 * 10^6 bits/s

5 Call for contributions

Implementers (both submitters and non-submitters): You have results that completement this site? Let us know at sha3zoo-hardware@iaik.tugraz.at